Keyword Search
Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
|
Keyword Search Criteria: models returned 420 record(s)
|
|
Sunday, 07/30/2017
|
Bayesian Multispecies Ecological Models for Paleoclimate Reconstruction Using Inverse Prediction
John Tipton, Colorado State University; Mevin Hooten, Colorado State University
|
Quantifying Discovery in Astro/Particle Physics: Frequentist and Bayesian Perspectives
David Van Dyk, Imperial College London; Sara Algeri, Imperial College London; Jan Conrad, University of Stockholm
|
ROS Regression: Integrating Regularization with Optimal Scaling for Predictive Modeling of High-Dimensional Data
Jacqueline J Meulman, Leiden University
2:05 PM
|
Predicting Platinum Resistance in Ovarian Cancer Treatment from Integrated Genomic Data
Esther Drill, Memorial Sloan Kettering Cancer Center; Ronglai Shen, Memorial Sloan Kettering Cancer Center; Yuanjia Wang , Columbia University
2:05 PM
|
Bayesian Inference in Nonparanormal Graphical Models
Jami Mulgrave; Subhashis Ghoshal, North Carolina State University
2:05 PM
|
Nonparametric Bayesian Survival Models in a Demand Forecasting Application
Ta-Hsin Li, IBM Watson Research Center
2:05 PM
|
Locally-Adaptive Bayesian Nonparametric Models for Multivariate Processes in Phylodynamics
James Faulkner, University of Washington; Vladimir Minin, University of Washington
2:05 PM
|
Model Validation and Influence Diagnostics for Regression Models with Missing Covariates
Paul Bernhardt, Villanova University
2:20 PM
|
Inference for Errors-In-Variables Models in the Presence of Spatial and Temporal Dependence with an Application to a Carbon Dioxide Remote Sensing Campaign
Bohai Zhang, University of Wollongong; Noel Cressie, University of Wollongong; Debra Wunch, University of Toronto
2:25 PM
|
Testing Curvature in Functional Single Index Models: Inference for Reaction Norms in Ecology
Giles J Hooker, Cornell University; Zi Ye, Cornell University
2:30 PM
|
Semiparametric Approaches to Bayesian Inference in Binary Instrumental Variable Models
Jared S Murray, Carnegie Mellon University
2:35 PM
|
A Mechanistic Nonlinear Model for Censored and Mis-Measured Covariates in Longitudinal Models, with Application in AIDS Studies
Hongbin Zhang, CUNY (SPH); Hubert Wong, CIHR CTN; Lang Wu, UBC
2:35 PM
|
Composite Likelihood Estimation for Random-Effect Network Models
Yanjun He, University of Washington; Peter Hoff, Duke University
2:35 PM
|
Audit Persistence in Correspondence Tax Examinations
Anne Parker, Internal Revenue Service; Julie Buckel, Internal Revenue Service
2:35 PM
|
Scalable Bayesian Learning for Sparse Logistic Models
Xichen Huang; Feng Liang, University of Illinois at Urbana Champaign
2:45 PM
|
Re-Conceptualizing the P-Value: a Probabilistic Comparison of Models Using Discrepancy Measures
Benjamin Nathaniel Riedle, University of Iowa; Joseph Cavanaugh, University of Iowa; Andrew Neath, SIU Edwardsville
2:50 PM
|
Conditional Maximum Likelihood Estimation for a Class of Observation-Driven Time Series Models for Count Data
Yunwei Cui, Towson University; Qi Zheng, University of Louisville
2:50 PM
|
Multivariate Ordinal Regression Models: An Analysis of Corporate Credit Ratings
Rainer Hirk, WU Vienna University of Economics and Business; Laura Vana, WU Vienna University of Economics and Business; Kurt Hornik, WU Vienna University of Economics and Business
2:50 PM
|
Network Inference Using Multi-Hub Models
Jirui Wang, George Mason Univ; Yunpeng Zhao, George Mason University
2:50 PM
|
Multi-Level Bayesian Models for Psychiatric and Brain Imaging Data
Wesley Kurt Thompson, UCSD
2:55 PM
|
Addressing Between-Study Heterogeneity and Cross Platform Data Integration for Gene Signature Selection and Clinical Prediction
Naim Rashid, University of North Carolina at Chapel Hill; Quefeng Li, The University of North Carolina at Chapel Hill; Joseph G Ibrahim, UNC
3:20 PM
|
Evaluation of Climate Models Using the Wild Scale-Enhanced Bootstrap
Megan Heyman, Rose-Hulman Institute of Technology; Ansu Chatterjee, University of Minnesota; Amy Braverman, Jet Propulsion Laboratory
3:25 PM
|
Semiparametric, Parametric and Possibly Sparse Models for Multivariate Long-Range Dependence
Vladas Pipiras, University Od North Carolina At Chaple Hill; Stefanos Kechagias, SAS Institute; Changryong Baek, Sungkyunkwan University
3:25 PM
|
A Mixture of Mixed Logistic Regression Models for Determining Optimal Dynamic Treatment Regimes
Bing Yu; Bruce Craig, Purdue University; Michael Yu Zhu, Purdue University
3:35 PM
|
More Information Is Better! Where Do We Get it and How Do We Use It?
Stephanie Michelle Coffey, U.S. Census Bureau; JPSM University of Maryland
4:05 PM
|
An Evaluation of Bias in Propensity Score Adjusted Nonlinear Regression Models
Fei Wan, University of Arkansas for Medical Sciences; Nandita Mitra, University of Pennslyvania
4:05 PM
|
Empirical Likelihood in Biased Sampling Problems
Jing Qin, National Institute of Allergy and Infectious Diseases
4:05 PM
|
Latent Dirichlet Allocation Topic Models Applied to the Centers for Disease Control and Prevention's Grant Portfolio
Matthew Eblen, Centers for Disease Control and Prevention; Robin Wagner, Centers for Disease Control and Prevention
4:05 PM
|
Modeling Nonresponse Bias Likelihood and Response Propensity: The Design and Implementation of Statistical Models to Identify Cases for Interventions During Data Collection
Daniel Pratt, RTI International; Jeffrey Rosen, RTI International; Michael Duprey, RTI International; Jamie Wescott, RTI International
4:20 PM
|
Ultra-high-dimensional Additive Partially Linear Models
Xinyi Li, Iowa State University; Li Wang, Iowa State University; Dan Nettleton, Iowa State University
4:20 PM
|
Bayesian Estimation of Multiple Gaussian Graphical Models with Unknown Class
Jiali Lin, Virginia Tech; Inyoung Kim, Virginia Tech
4:20 PM
|
A Statistical Framework for Downscaling Climate Model Information to Enhance Infrastructure Design
Ernst Linder, Department of Mathematics and Statistics, University of New Hampshire; Meng Zhao, University of New Hampshire; Yiming Liu, University of New Hampshire
4:20 PM
|
Estimating Dynamic Brain Functional Networks Using Multi-Subject fMRI Data
Suprateek Kundu, Emory University, Rollins School of Public Health
4:25 PM
|
Some Models for Load-Sharing Systems and Analyzes
Narayanaswamy Balakrishnan, McMaster University
4:30 PM
|
An assessment of the utility of a Bayesian framework to improve response propensity modelling
Eliud Kibuchi, University of Southampton; Gabriele Durrant, University of Southampton; Patrick Sturgis, University of Southampton; Olga Maslovskaya, University of Southampton
4:35 PM
|
Additive Partially Linear Models for Massive Heterogeneous Data
Binhuan Wang, New York University School of Medicine; Yixin Fang, New Jersey Institute of Technology; Heng Lian, City University of Hong Kong; Hua Liang , George Washington University
4:35 PM
|
Secure Multiparty Maximum Likelihood Estimation with Partitioned Databases
Joshua Snoke, Pennsylvania State University; Timothy Brick, Pennsylvania State University; Aleksandra Slavkovic, Pennsylvania State University
4:35 PM
|
Proportional Likelihood Ratio Models for Competing Risks
Chiung-Yu Huang, Johns Hopkins University; Tony Sit, Chinese University of Hong Kong; Gongjun Xu, University of Michigan
4:45 PM
|
Trajectory Models Revisited
Elena Erosheva, University of Washington ; Bryan D. Martin, University of Washington; Ross L. Matsueda, University of Washington
4:50 PM
|
Inference on Risk Premia Without a Fully Specified Factor Model
Dacheng Xiu, University of Chicago; Stefano Giglio, University of Chicago
4:55 PM
|
DNA Seriation Under Planted Hamiltonian Path Model
Jiaming Xu, Purdue University
4:55 PM
|
T. W. Anderson's Seminal Contributions to Econometrics
Cheng Hsiao, University of Southern California
4:55 PM
|
An Overview of Past, Present, and Future Developments in the Analysis of Recurrent Events and Competing Risks Data
Edsel Aldea Pena, University of South Carolina
4:55 PM
|
Nonparametric Functional Calibration of Computer Models
Andrew Brown, Clemson University; Sez Atamturktur, Glenn Department of Civil Engineering, Clemson University
5:05 PM
|
Methods to Detect and Eliminate Outliers in Longitudinal Childhood Obesity Data
Mallik Rettiganti, University of Arkansas for Medical Sciences; Avishek Chakraborty, University of Arkansas; Anthony Goudie, University of Arkansas for Medical Sciences
5:05 PM
|
Urban Analytics Using Tree Models
Shane Jensen, The Wharton School, University of Pennsylvania
5:20 PM
|
T. W. Anderson's Contributions to Time Series
Soren Johansen, University of Copenhagen
5:20 PM
|
Joint Modeling of Marker and Event Processes While Adjusting for Dependent Observation
Richard John Cook, University of Waterloo
5:20 PM
|
Inference in Gaussian DAGs with Known Partial Ordering
Syed Rahman, University of Florida
5:20 PM
|
Exploratory Approaches for Determination of Important Physical Attributes of Cigarettes in the Yields of Tar, Nicotine and CO: a Case Study
Christopher Ellison, Food and Drug Administration; Qian Li, Food and Drug Administration
5:20 PM
|
Differences in Estimation Between the Longitudinal Model and the Longitudinal Portion of the Joint Model
Kendra Plourde, Boston University; Yorghos Tripodis, Boston University; Elizabeth Rose Mayeda, University of California
5:20 PM
|
Nonparametric estimation of time-variant quantiles and statistical models
Jessica Rudd, Kennesaw State University; Mohammed Chowdhury, Kennesaw State University
5:35 PM
|
Assessing Residual Diagnostics for Ordinal Response Models
Altea Lorenzo-Arribas, University of Southampton / Biomathematics and Statistics Scotland; Antony M Overstall, University of Southampton; Mark J Brewer, Biomathematics and Statistics Scotland
5:35 PM
|
|
Monday, 07/31/2017
|
The Evolution of Fraud Detection Models
Brian Hochrein, IBM Watson Health
|
Survival Prediction in Early-Stage Lung Cancer via Bayesian Model Averaging of Nonparametric Accelerated Failure Time Models
Kijoeng Nam, Merck; Nicholas Henderson, Johns Hopkins University ; Dai Feng, Merck
|
Design of Experiment for Big Data Era
Dennis K.J. Lin, Penn State University
|
An Evaluation of Multiple Imputation Methods for Hierarchical Data
Takayuki Abe, Keio University School of Medicine; Manabu Iwasaki, Seikei University
|
Bayesian Mixed Effect Location Scale Model for Ecological Momentary Assessment Data
Xiaolei Lin, University of Chicago; Donald Hedeker, University of Chicago
|
Gaussian Mixture Models as Automated Particle Classifiers for Fast Neutron Detectors
Brenton Blair, Lawrence Livermore National Laboratory; Ron Wurtz, Lawrence Livermore National Laboratory
|
Modeling Excess Zeroes in an Integrated Analysis of Vaccine Safety
Roger Maansson, Pfizer Inc.; David Radley, Pfizer Inc.; Qin Jiang, Pfizer Inc.; Scott Patterson, Pfizer Inc.; Judith Absalon, Pfizer Inc.; John Perez, Pfizer Inc.
|
Extending the Distributed Lag Model Framework to Evaluate Mixture Effects - a Nonparametric Approach
Ghalib Bello, Icahn School of Medicine at Mount Sinai
|
Linear Mixed Effects Model Approach to Analyze Change in Tumor Growth of Colorectal Cancer Mouse Model.
Ramu G Sudhagoni, The University of South Dakota; Khosrow Rezvani, The University of South Dakota; Jessica Freeling, The University of South Dakota
|
The Evaluation of Integrals of the Form [f(s,t)*Bivariate Normal(s,t)]. Application to Correlated Bivariate Logistic-Gaussian Models
Edmund Ameyaw, Howard University; Paul Bezandry, Howard University; Victor Apprey, Howard University; John Kwagyan, Howard University College of Medicine, General Clinical Research Center
|
Optimal Variable Selection in Regression Models
Jie Ding, Harvard; Vahid Tarokh, Harvard; Yuhong Yang, University of Minnesota
|
Emax Modeling for Assessing Dose-Response Relationships Using JMP
Beibo Zhao, University of North Carolina at Chapel Hill; Richard C. Zink, JMP Life Sciences, SAS Institute, Inc.
|
Semiparametric Bayes' Proportional Odds Models for Arbitrarily Censored Failure Time Data
Lu Wang, University of South Carolina; Lianming Wang, University of South Carolina
|
Relative Efficiency of Unequal Versus Equal Cluster Sizes in Cluster Randomized Trials Using Generalized Estimating Equation Models
Esther Lu, Washington University School of Medicine
|
Spatially Varying Autoregressive Models for Prediction of New HIV Diagnoses
Lyndsay Shand; Bo Li, University of Illinois
|
Computer Model Calibration via the Ensemble Kalman Filter
Seiyon Lee, Pennsylvania State University; Murali Haran, Pennsylvania State University; Klaus Keller, Pennsylvania State University
|
A Bayesian Approach to Dynamic Functional Connectivity in fMRI Data
Ryan Warnick, Rice University; Marina Vannucci, Rice University; Michele Guindani, University of California, Irvine; Erik Erhardt, University of New Mexico; Elena Allen, Medici Technologies; Vince Calhoun, University of New Mexico
|
Heterogeneous Reciprocal Graphical Models
Yang Ni; Peter Mueller, UT Austin; Yitan Zhu, NorthShore University HealthSystem; Yuan Ji, NorthShore University HealthSystem/University of Chicago
|
Testing the Adequacy of Linear Mixed Effects Models
Stephanie Chen, North Carolina State University; Luo Xiao, North Carolina State University; Ana-Maria Staicu, North Carolina State University, Department of Statistics
|
Finding Multiple Outcomes with Similar Linear Models
Tanzy Love, University of Rochester; Amy LaLonde, University of Rochester
|
Comparisons of Calibration Methods for the RECS Engineering End-Use Estimates
Shaofen Grace Deng, U.S. Energy Information Administration; Greg Lawson , U.S. Energy Information Administration; Chrishelle Lawrence, U.S. Energy Information Administration
|
Analysis of the Australian Election Study Using Bayesian Quantile Regression Models
Charles Au, University of Sydney; S. T. Boris Choy, University of Sydney
|
Smoothing Splines Approach for Longitudinal Analysis of Functional Outcomes
Kush Kapur, Boston Children's Hospital, Harvard Medical School; Rajesh Selukar, SAS Institute Inc; Basil Darras, Boston Children's Hospital, Harvard Medical School; Seward Rutkove, Beth Israel Deaconess Medical Center, Harvard Medical School
|
Bayesian Estimation and Uncertainty Quantification in Differential Equation Models
Prithwish Bhaumik, Quantifind Inc.
|
A Community and Node Attribute-Corrected Stochastic Blockmodel
Kristen M. Altenburger, Stanford University; W. Philip Kegelmeyer, Sandia National Laboratories; Ali Pinar, Sandia National Laboratories; Jeremy D. Wendt, Sandia National Laboratorie; Cliff Anderson-Bergman, Sandia National Laboratories
|
Instrument Assisted Partial-Linear Single Index Regression for Errors in Variables Models with Binary Response
Qianqian Wang, University of South Carolina; Yanyuan Ma, Penn State University; Guangren Yang, Jinan University; Xia Cui, Zhongshan University
|
AARP 2016 Master Model Building and Validation
Renting Xu, AARP; Jared Weiss, AARP, Inc; Paul Maiste, Lityx,LLC; Jerrod Begora, Lityx,LLC; Roger Marcus, Lityx,LLC
|
Efficient causal structure learning in high dimensions
Arjun Sondhi, University of Washington; Ali Shojaie, University of Washington
|
Copula-Based Estimation for Markov Models with Detection Limits
Fuyuan Li, George Washington University
|
Varying-Coefficient Models for Dynamic Networks
Jihui Lee, Columbia University; Gen Li, Columbia University; James D. Wilson, University of San Francisco
|
Rank-Based Estimation for Generalized Additive Models with an Application to Fisheries Data
Hannah Correia, Auburn University; Asheber Abebe, Auburn University
|
A Regularization Method for Detecting Differential Item Functioning Under the Framework of Generalized Linear Models
Jing Jiang, Boston College; Zhushan Li, Boston College
|
Using generalized linear models to refine management of marten trap lines
Alyssa Crawford, Alaska Department of Fish and Game
|
Weighted Bayesian Random-Effects Meta-Analysis Models
Uma Siangphoe, U.S. Food and Drug Administration
|
A Comparison of Testing Methods in Scalar-On-Function Regression
Merve Tekbudak, North Carolina State University; Marcela Alfaro Córdoba, North Carolina State University; Ana-Maria Staicu, North Carolina State University, Department of Statistics; Arnab Maity, North Carolina State University
|
Detection of Prostate Cancer with Multi-Parametric MR Imaging Models Utilizing the Anatomic Structure of the Prostate
Jin Jin, University of Minnesota; Joseph Koopmeiners, University of Minnesota; Lin Zhang, University of Minnesota; Greg Metzger, University of Minnesta; Ethan Leng, University of Minnesta
8:35 AM
|
Spatially Varying Autoregressive Models for Prediction of New HIV Diagnoses
Lyndsay Shand; Bo Li, University of Illinois
8:40 AM
|
Computer Model Calibration via the Ensemble Kalman Filter
Seiyon Lee, Pennsylvania State University; Murali Haran, Pennsylvania State University; Klaus Keller, Pennsylvania State University
8:50 AM
|
A Bayesian Approach to Dynamic Functional Connectivity in fMRI Data
Ryan Warnick, Rice University; Marina Vannucci, Rice University; Michele Guindani, University of California, Irvine; Erik Erhardt, University of New Mexico; Elena Allen, Medici Technologies; Vince Calhoun, University of New Mexico
8:50 AM
|
Abstract for Dynamic Multi-Resolution Smoothing Using Multi-Source Exchangeability Models
Alexander Kaizer; Joseph Koopmeiners, University of Minnesota; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center
8:55 AM
|
Heterogeneous Reciprocal Graphical Models
Yang Ni; Peter Mueller, UT Austin; Yitan Zhu, NorthShore University HealthSystem; Yuan Ji, NorthShore University HealthSystem/University of Chicago
8:55 AM
|
Exploring the Cognitive Endpoints in Alzheimer's Disease Cohort Data Using Item Response Theory Models
Xu Shu, Novartis
8:55 AM
|
Efficient causal structure learning in high dimensions
Arjun Sondhi, University of Washington; Ali Shojaie, University of Washington
9:05 AM
|
Varying-Coefficient Models for Dynamic Networks
Jihui Lee, Columbia University; Gen Li, Columbia University; James D. Wilson, University of San Francisco
9:15 AM
|
Shape Testing in Quantile Varying Coefficient Models with Heteroscedastic Error
Mohammed Abdulkerim Ibrahim, Censtat, I-BioStat, Universiteit Hasselt; Irène Gijbels, Department of Mathematics and Leuven Statistics Research Center (LStat), KU Leuven; Anneleen Verhasselt, Censtat, I-BioStat, Universiteit Hasselt
9:20 AM
|
Copula-Based Estimation for Markov Models with Detection Limits
Fuyuan Li, George Washington University
9:20 AM
|
Statistical Models for Cervical Cancer Screening Tests
Keshav Pokhrel, University of Michigan-Dearborn; Vinod Shidham, Wayne State University; Rabita Mahaseth, Wayne State University
9:20 AM
|
Dual-Purpose Bayesian Design for Parameter Estimation and Model Discrimination of Models with Intractable Likelihoods
Mahasen Bandara Dehideniya, Queensland University of Technology; James McGree, Queensland University of Technology; Christopher Drovandi , Queensland University of Technology
9:20 AM
|
Rank-Based Estimation for Generalized Additive Models with an Application to Fisheries Data
Hannah Correia, Auburn University; Asheber Abebe, Auburn University
9:25 AM
|
Finding Multiple Outcomes with Similar Linear Models
Tanzy Love, University of Rochester; Amy LaLonde, University of Rochester
9:30 AM
|
Estimation of Causal Effects in Randomized Trials of Infectious Disease Prevention with General Interference
Nicole Bohme Carnegie, University of Wisconsin-Milwaukee
9:35 AM
|
Weighting Mixed Mode Data for the 2015 Residential Energy Consumption Survey (RECS)
Patrick Chen, RTI International; Shaofen Grace Deng, U.S. Energy Information Administration; Neeraja Sathe, RTI International; Lanting Dai, RTI International; Rachel Harter, RTI International; Phillip Kott, RTI
9:35 AM
|
Bayesian Multiscale Spatial Models for Big Data
Raj Guahniyogi, UCSC
9:35 AM
|
Using generalized linear models to refine management of marten trap lines
Alyssa Crawford, Alaska Department of Fish and Game
9:35 AM
|
A Regularization Method for Detecting Differential Item Functioning Under the Framework of Generalized Linear Models
Jing Jiang, Boston College; Zhushan Li, Boston College
9:40 AM
|
Error Variance Estimation in Ultra-High Dimensional Regression Models
Runze Li, The Pennsylvania State University; Zhao Chen, The Pennsylvania State University; Jianqing Fan, Princeton University
9:50 AM
|
Adaptive Estimation for Varying Coefficient Models
Yixin Chen, Sanofi; Qin Wang, Virginia Commonwealth University; Weixin Yao, Department of Statistics, University of California, Riverside
9:50 AM
|
Bayesian Estimation and Uncertainty Quantification in Differential Equation Models
Prithwish Bhaumik, Quantifind Inc.
9:55 AM
|
Cancer Phylogenies and Nonparametric Clustering
Jeffrey Miller, Harvard School of Public Health; Scott Carter, Dana-Farber Cancer Institute
9:55 AM
|
Partial Rank Regression Models with Penalized Warped Wavelets
Eddy Kwessi, Trinity University
10:05 AM
|
Model-Robust Inference for Continuous Threshold Regression Models
Chongzhi Di, Fred Hutchinson Cancer Research Center; Ying Huang, Fred Hutchinson Cancer Research Center; Peter Gilbert, Fred Hutchinson Cancer Research Center; Youyi Fong, Fred Hutchinson Cancer Research Center
10:35 AM
|
Improving Dynamic Predictions from Joint Models of Longitudinal and Survival Data Using Time-Varying Effects
Dimitris Rizopoulos, Erasmus University Medical Center
10:35 AM
|
Relative Efficiency of Unequal Versus Equal Cluster Sizes in Cluster Randomized Trials Using Generalized Estimating Equation Models
Esther Lu, Washington University School of Medicine
10:35 AM
|
Gremlins in the Data: Identifying the Information Content of Research Subjects
John Howell, Penn State University
10:35 AM
|
Splice Plots for Assessing the Fit of Proportional Hazards Models
David Nelson, Dept Veterans Affairs, Univ Minnesota; Siamak Noorbaloochi, VA Health Care System
10:35 AM
|
Comparisons of Calibration Methods for the RECS Engineering End-Use Estimates
Shaofen Grace Deng, U.S. Energy Information Administration; Greg Lawson , U.S. Energy Information Administration; Chrishelle Lawrence, U.S. Energy Information Administration
10:40 AM
|
Smoothing Splines Approach for Longitudinal Analysis of Functional Outcomes
Kush Kapur, Boston Children's Hospital, Harvard Medical School; Rajesh Selukar, SAS Institute Inc; Basil Darras, Boston Children's Hospital, Harvard Medical School; Seward Rutkove, Beth Israel Deaconess Medical Center, Harvard Medical School
10:50 AM
|
Nonparametric Covariance Estimation for Longitudinal Data via Tensor Product Smoothing
Tayler Blake, Information Control Company; Yoonkyung Lee, The Ohio State University
10:50 AM
|
Instrument Assisted Partial-Linear Single Index Regression for Errors in Variables Models with Binary Response
Qianqian Wang, University of South Carolina; Yanyuan Ma, Penn State University; Guangren Yang, Jinan University; Xia Cui, Zhongshan University
10:50 AM
|
A Markov Switching Causal-Noncausal Autoregressive Model with Application to Economic Bubbles
Anton Lobach, University of Rhode Island. Dept. of Computer Science and Statistics; Gavino Puggioni, University of Rhode Island, Department of Computer Science and Statistics
10:50 AM
|
A Site-Adjusted Approach to the Covariate-Adjusted Response-Adaptive Allocation Design in Multi-Center Trials
Brian Di Pace, Virginia Commonwealth Univ; Roy T Sabo, Virginia Commonwealth University
10:50 AM
|
Comparing the Mixing Fractions in a Latent Mixture Model to Investigate Change in Mutational Processes During Cancer Growth and Development
Kimberly Siegmund, Univ of Southern California-School of Medicine; Zhi Yang, University of Southern California; Priyatama Pandey, University of Southern California; Paul Marjoram, University of Southern California; Darryl Shibata, University of Southern California
10:55 AM
|
West African Ebola, Zika in the Americas and Direct Likelihood-Based Inference for Stochastic Compartmental Models
Marc A. Suchard, University of California, Los Angeles
11:00 AM
|
On Data Integration Problems with Manifolds
Kenneth Ryan, WVU; Mark Culp, West Virginia University
11:05 AM
|
Estimation of Parameters in a Class of Dynamic Network Models
Wei Zhao, North Carolina State University
11:05 AM
|
Refining an External-Factor Model of Government Survey Refusal Rates
Luke Larsen, U.S. Census Bureau; Joanna Lineback, U.S. Census Bureau; Benjamin Reist, U.S. Census Bureau
11:05 AM
|
A Comparison of Testing Methods in Scalar-On-Function Regression
Merve Tekbudak, North Carolina State University; Marcela Alfaro Córdoba, North Carolina State University; Ana-Maria Staicu, North Carolina State University, Department of Statistics; Arnab Maity, North Carolina State University
11:05 AM
|
Testing Causative Hypotheses in Nonparametric Models with a Mismeasured or Coarsened Confounder
Wang Miao, Peking University; Lan Liu, University of Minnesota at Twin Cities
11:15 AM
|
A Moment-Based Estimation Procedure for Deeply-Nested Hierarchical Models
Ningshan Zhang, New York University; Patrick Perry, New York University; Kyle Schmaus, Stitch Fix
11:20 AM
|
An Objective Prior for Hyperparameters in Normal Hierarchical Models
Dongchu Sun, University of Missouri
11:25 AM
|
An Alternative Method for Measuring Willingness-To-Pay Using Truncated Distributions of Heterogeneity
Adam Smith, The Ohio State University; Dong Soo Kim, The Ohio State University; Mingyu Joo, The Ohio State University
11:35 AM
|
Poisson Cokriging as a Generalized Linear Mixed Model, Applications in Public Health
Lynette Smith, University of Nebraska Medical Center
11:35 AM
|
Bayesian Gaussian Process Models on Spaces of Sufficient Dimension Reduction
Peter Marcy, Los Alamos National Laboratory
11:35 AM
|
Gene-Based Association Testing of Dichotomous Traits with Generalized Functional Linear Mixed Models Using Extended Pedigrees
Ruzong Fan; Yingda Jiang, University of Pittsburgh; Chi-yang Chiu, NIH; Momiao Xiong, University of Texas; Christopher I Amos, Geisel School of Medicine at Dartmouth; Daniel Weeks, University of Pittsburgh; Richard John Cook, University of Waterloo; M'Hamed Lajimi Lakhal-Chaieb, Université Laval; Qi Yan, Division of Pulmonary Medicine, Allergy and Immunology, Children's Hospital of Pittsburgh ; Wei Chen, University of Pittsburgh; Michael B. Gorin, UCLA; Yvette P. Conley, University of Pittsburgh; Alexander F. Wilson, NIH; Joan Bailey-Wilson, NIH; McMahon Francis, NIH
11:35 AM
|
Assessment of Utility of Total Kidney Volume for Trial Enrichment
John Lawrence
11:35 AM
|
Analyzes of Nighttime Seat Belt Usage Based on Gender, Vehicle Type, and Geography
Kwaku Boakye, University of Tennessee, Knoxville; Shashi Nambisan, University of Alabama; Mack Shelley, Iowa State University
11:35 AM
|
Testing the Adequacy of Linear Mixed Effects Models
Stephanie Chen, North Carolina State University; Luo Xiao, North Carolina State University; Ana-Maria Staicu, North Carolina State University, Department of Statistics
11:45 AM
|
Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models
Daniel Apley, Northwestern University
11:50 AM
|
Weighted Bayesian Random-Effects Meta-Analysis Models
Uma Siangphoe, U.S. Food and Drug Administration
11:50 AM
|
Clustering Functional Databased on Change-Point Models for Electronic Monitoring Data
Chongzhi Di, Fred Hutchinson Cancer Research Center; Yifan Zhu, Fred Hutchinson Cancer Research Center; Ying Qing Chen, Fred Hutchinson Cancer Research Center
11:55 AM
|
Looking for Features in Astronomical Spectra by Testing One Hypothesis Multiple Times
Sara Algeri, Imperial College London
11:55 AM
|
A Community and Node Attribute-Corrected Stochastic Blockmodel
Kristen M. Altenburger, Stanford University; W. Philip Kegelmeyer, Sandia National Laboratories; Ali Pinar, Sandia National Laboratories; Jeremy D. Wendt, Sandia National Laboratorie; Cliff Anderson-Bergman, Sandia National Laboratories
11:55 AM
|
Analysis of the Australian Election Study Using Bayesian Quantile Regression Models
Charles Au, University of Sydney; S. T. Boris Choy, University of Sydney
12:00 PM
|
Matrix-Free Computation of Spatial-Temporal Gaussian Autoregressions and Related Stat-Space Models
Chunxiao Wang, Oregon State University; Debashis Mondal, Oregon State University
12:05 PM
|
Regime Switching Asymmetric-GARCH Models for Estimating Financial Risk in the Nigerian Stock Index
Mary Akinyemi, University of Lagos; Georgi Boshnakov, University of Manchester
12:05 PM
|
Embracing the Blessing of Dimensionality in Factor Models
Quefeng Li, The University of North Carolina at Chapel Hill; Guang Cheng, Purdue; Jianqing Fan, Princeton University; Yuyan Wang, Princeton University
12:05 PM
|
AARP 2016 Master Model Building and Validation
Renting Xu, AARP; Jared Weiss, AARP, Inc; Paul Maiste, Lityx,LLC; Jerrod Begora, Lityx,LLC; Roger Marcus, Lityx,LLC
12:05 PM
|
Bayesian Modeling and Decision Theory for Non-Homogeneous Poisson Point Processes
Jiaxun Chen, University of Missouri-Columbia; Athanasios Micheas, Univ of Missouri- Columbia; Scott H. Holan, University of Missouri
12:05 PM
|
The Role of Intermediate Observations When Outcome Data Are Missing in Longitudinal Randomized Clinical Trials
Joseph Rausch, Nationwide Children's Hospital
2:05 PM
|
Modeling and Estimation for Self-Exciting Models of Terrorist Activity
Nicholas Clark; Philip M Dixon, Iowa State University
2:05 PM
|
METHODOLOGICAL CHALLENGES in the ANALYSIS of LONGITUDINAL RNASEQ DATA
Roula Tsonaka, Leiden University MC
2:20 PM
|
Bayesian Dynamic Tensor Factor Models
Seyed Yaser Samadi, Southern Illinois University, Carbondale; David Dunson, Duke University
2:20 PM
|
Individual Level Infectious Disease Models Incorporating Aggregate Level Spatial Structure
Rob Deardon, University of Calgary; MD Mahsin, University of Calgary
2:25 PM
|
Personalizing Early Detection for Ovarian Cancer with Hierarchical Longitudinal Models of a Blood Biomarker: Experience in Multiple Prospective Screening Trials
Steven Skates, MGH/Biostatistics Center
2:25 PM
|
Optimum Designs for Nonlinear Models in the Presence of Multiple Covariates
Mahbub AHM Latif, St. Luke's International University; Barbara Bogacka, Queen Mary, University of London; Steven G Gilmour, King's College London
2:35 PM
|
Exponential Random Graph Models with Big Networks: Maximum Pseudolikelihood Estimation and the Parametric Bootstrap
Christian Schmid, The Pennsylvania State University; Bruce Desmarais, The Pennsylvania State University
2:35 PM
|
Spatio-Temporal Models with Excess Zeros
Mahmoud Torabi, University of Manitoba
2:45 PM
|
Flexible Models for Multivariate Longitudinal Data Using Copula
Zhentao Tong, North Carolina State University; Sujit K Ghosh, North Carolina State University
2:50 PM
|
Variable Selection for High-Dimensional Spatial Regression Models
Abolfazl Safikhani, Columbia University; Tapabrata Maiti, Michigan State University; Chae Young Lim , Seoul National University
2:50 PM
|
On General Sampling Schemes for Particle Markov Chain Monte Carlo Methods
Christopher Carter, University of New South Wales; Robert Kohn, University of New South Wales ; Eduardo Mendes, Fundacao Getulio Vargas
2:50 PM
|
Modeling Heterogeneous Variance-Covariance Components in Two-Level Models
George Leckie, University of Bristol; Robert French, University of Bristol; Chris Charlton, University of Bristol; William Browne, University of Bristol
2:55 PM
|
High-Dimensional Posterior Consistency in Bayesian Vector Autoregressive Models
Satyajit Ghosh, University of Florida; Kshitij Khare, University of Florida; George Michailidis, University of Florida
3:05 PM
|
Accelerated Failure Time Models for Semi-Competing Risks Data in the Presence of Complex Censoring
Sebastien Haneuse, TE-Harvard T.H. Chan School of Public Health; Kyu Ha Lee, The Forsyth Institute
3:05 PM
|
Functional Regression Models for Nonignorable Missing Scalar Responses
Hongtu Zhu, The University of Texas MD Anderson Cancer Center; Tengfei Li, MD Anderson
3:20 PM
|
Maximum Likelihood Versus Alternative Regularized Estimators for Logistic Regression Models
Gabriel Ruiz, Department of Statistics, University of California, Riverside; Subir Ghosh, Department of Statistics, University of California, Riverside
3:20 PM
|
Objective Bayesian Analysis for Gaussian Hierarchical Models with Intrinsic Conditional Autoregressive Priors
Matthew J. Keefe, Virginia Tech; Marco Ferreira, Virginia Tech; Christopher T. Franck, Virginia Tech Department of Statistics
3:20 PM
|
Flexible Semiparametric Regression of State Occupational Probabilities in a Multistate Model with Right-Censored Data
Chathura Siriwardhana, University of Hawaii; Karunarathna Kulasekera, University of louisville; Somnath Datta, University of Florida
3:35 PM
|
Marginally Interpretable Generalized Linear Mixed Models
Jeffrey J Gory, The Ohio State University; Peter F Craigmile, The Ohio State University; Steven MacEachern, The Ohio State University
3:35 PM
|
|
Tuesday, 08/01/2017
|
Estimating the Protective Effect of Longitudinal DrugConcentration in Pre-Exposure Prophylaxis for HIV Prevention
Claire Ruberman, Johns Hopkins University; Jon Steingrimsson, Johns Hopkins University; Michael Rosenblum, Johns Hopkins University; Craig Hendrix, Johns Hopkins School of Medicine
|
Dynamic Prediction Using Joint Models of Longitudinal and Recurrent Events Data: a Bayesian Perspective
Xuehan Ren
|
Plausibility Regions on the Parameters of Skew Normal Distributions Based on Inferential Models
Xiaonan Zhu, New Mexico State University; Tonghui Wang, New Mexico State University; Baokun Li, Southwestern University of Finance and Economy, P. R. China
|
Construction of ROC Curves for Measurement Error Models as Classifiers
Mengru Zhang, Stony Brook University; Song Wu, Stony Brook University; Christine DeLorenzo, Stony Brook University; Jie Yang, Stony Brook University
|
Combining Functional Data with Hierarchical Gaussian Process Models
Valerie Poynor, California State University, Fullerton; Stephan Munch, Southwest Fisheries Science Center
|
Anatomically Informed Estimation of Functional Brain Networks
Ixavier Higgins, Emory University; Suprateek Kundu, Emory University, Rollins School of Public Health; Ying Guo, Emory University
|
Modeling and Estimating the Behavior of Photo-Switching Fluorophores in Super-Resolution
Lekha Patel, Imperial College London; Edward Cohen, Imperial College London
|
Best Practices in Predicting Customer Attrition
Adraine Upshaw, BBVA Compass
|
Calibration and Discrimination in Predictive Survival Models
Yared Gurmu, Brigham and Women's Hospital; Jeong-Gun Park, Brigham & Womens Hospital / Harvard Medical School; Erica Goodrich, Brigham and Women's Hospital
|
Geometric Ergodicity of Gibbs Samplers in Bayesian Penalized Regression Models
Dootika Vats, University of Minnesota
|
A Method for Spatio-Temporal Back-Calculation of Cancer Incidence Rate
Nisheet Nautiyal; Theodore Holford, Yale University
|
Random Effects Models for Meta-Analysis of Causal Effects in Randomized Trials with Noncompliance
Jincheng Zhou, University of Minnesota; Haitao Chu, University of Minnesota
|
Nonlinear Mixed-Effects Mixture Models for Clustering Longitudinal Data with an Application
Chongshu Chen, University of Rochester
|
Bayesian Models for Automatic Landmark Detection on Elastic Curves
Justin Strait, Department of Statistics, The Ohio State University; Oksana A Chkrebtii, The Ohio State University; Sebastian Kurtek, The Ohio State University
|
Missing Data Imputation Strategies for Different Estimands in Clinical Trials
Ye Tan, Pfizer; Steven Gilbert, Pfizer Inc.
|
Dynamic Posterior Exploration for Simultaneous Variable and Covariance Selection with Spike and Slab Priors
Sameer Kirtikumar Deshpande, The Wharton School; Veronika Rockova, University of Chicago; Edward I. George, Wharton, University of Pennsylvania
|
Identifying Latent Structures in Restricted Latent Class Models
Zhuoran Shang, University of Minnesota; Gongjun Xu, University of Michigan
|
Sparse Network Tomography for Anomaly Detection
Elizabeth Hou, University of Michigan; Yason Yilmaz, University of South Florida; Alfred Hero, University of Michigan
|
Bayesian Mixture Model for Ovarian Cancer Study Using Glycoproteomics and Mass Spectrometry Data
Yulan Liang, University of Maryland; Arpad Kelemen, University of Maryland
|
Optimal hypothesis testing for stochastic block models with growing degrees
Debapratim Banerjee, University of Pennsylvania; Zongming Ma, University of Pennsylvania
8:35 AM
|
Joint Modeling of Mean, Dispersion, and Weights
Katherine Irimata, Arizona State University
8:35 AM
|
A Method for Spatio-Temporal Back-Calculation of Cancer Incidence Rate
Nisheet Nautiyal; Theodore Holford, Yale University
8:45 AM
|
Random Effects Models for Meta-Analysis of Causal Effects in Randomized Trials with Noncompliance
Jincheng Zhou, University of Minnesota; Haitao Chu, University of Minnesota
8:50 AM
|
Robust Estimation in Additive Hazards Models
Oliver Dukes, Ghent University; Stijn Vansteelandt, Ghent University; Torben Martinussen, University of Copenhagen; Eric Tchetgen Tchetgen, Harvard University
8:50 AM
|
Determining Dose-Response Relationships by Bayesian Averaging of Multiple Models
A. Lawrence Gould, Merck Research Laboratories
8:50 AM
|
GMM Logistic Regression with Time-Dependent Covariates and Feedback Processes
Kyle M Irimata, Arizona State University
8:55 AM
|
Small Area Models for Over-Dispersed Poisson Counts
Jerry Maples, U.S. Census Bureau; Adam Maidman, University of Minnesota
8:55 AM
|
Bayesian Clinical Trial Design for Joint Models of Longitudinal and Survival Data
Joseph G Ibrahim, UNC; Matthew Psioda, UNC Chapel Hill
9:00 AM
|
When Should We Use Linear Fixed Effects Regression Models for Causal Inference with Longitudinal Data?
Kosuke Imai, Princeton University; In Song Kim, MIT
9:00 AM
|
Generated Effect Modifiers in Linear and Nonparametric Models
Eva Petkova, New York University School of Medicine; Thaddeus Tarpey, Wright State University; Hyung Park, Columbia University; Zhe Su, New York University School of Medicine; R. Todd Ogden, Department of Biostatistics, Columbia University
9:00 AM
|
Bayesian models and the parametric G-formula in time-dependent settings: robustness and sensitivity analysis
Arielle K Anglin, Department of Biostatistics, University of Pennsylvania; Jason A Roy, University of Pennsylvania
9:05 AM
|
The Scale Enhanced Wild Bootstrap Method for Evaluating Climate Models Using Wavelets
Ansu Chatterjee, University of Minnesota; Amy Braverman, Jet Propulsion Laboratory; Megan Heyman, Rose-Hulman Institute of Technology; Noel Cressie, University of Wollongong
9:15 AM
|
Stable Balancing Weights for Marginal Structural Models
María de los Angeles Resa Juárez, Columbia University; José R. Zubizarreta, Columbia University
9:15 AM
|
Bayesian Inference in the Presence of Intractable Normalizing Functions
Jaewoo Park, Penn State University
9:20 AM
|
Joint Modeling of Longitudinal and Survival Data with a Covariate Subject to a Limit of Detection
Abdus Sattar, Case Western Reserve University; Sanjoy K Sinha, Carleton University
9:25 AM
|
Dynamic Models of Leaders and Factional Networks in Social Media
Iliyan R. Iliev, University of Southern Mississippi
9:25 AM
|
Defining and Modeling Two Interpretations of Perception in Removal-Distance Models of Point-Count Surveys
Adam Martin-Schwarze, Iowa State University; Jarad Niemi, Iowa State University; Philip M Dixon, Iowa State University
9:35 AM
|
Sparse semi-parametric generated effect modifiers
Hyung Park, Columbia University; Eva Petkova, New York University School of Medicine; Thaddeus Tarpey, Wright State University; R. Todd Ogden, Department of Biostatistics, Columbia University
9:50 AM
|
Analysis of Multi-State Models with Misclassied States
Grace Y Yi, University of Waterloo; Wenqing He, University of Western Ontario
9:50 AM
|
Dynamic Predictions in Bayesian Functional Joint Models for Longitudinal and Time-To-Event Data: An Application to Alzheimer's Disease
Kan Li, The University of Texas Health Science Center at Houston ; Sheng Luo, The University of Texas Health Science Center at Houston
9:50 AM
|
A Randomized Algorithm for Maximum Likelihood Estimation with Spatial Autoregressive Models
Miaoqi Li, University of Cincinnati; Emily L. Kang, University of Cincinnati
9:50 AM
|
The LGM Split Sampler: An Efficient MCMC Sampler for Latent Gaussian Models
Birgir Hrafnkelsson, University of Iceland; Dan Simpson, University of Bath; Oli Pall Geirsson, University of Iceland
9:50 AM
|
Nonlinear Dynamical Spatio-Temporal Models and Their Efficient Estimation
Christopher Wikle, University of Missouri
9:55 AM
|
Generalized Autoregressive Quasi-Score Models
Chaitra Nagaraja, Fordham University; Aerambamoorthy Thavaneswaran, University of Manitoba; Alexander Paseka, University of Manitoba
9:55 AM
|
Using Generalized Additive Models to Inform Water Quality Management in Chesapeake Bay
Rebecca Murphy, University of Maryland Center for Environmental Science; Elgin Perry, Statistics Consultant
10:05 AM
|
Testing the Conditional Mean Independence for Functional Data
Chung Eun Lee, University of Illinois-Urbana Champaign; Xianyang Zhang, Texas A&M University; Xiaofeng Shao, University of Illinois, At Urbana-Champaign
10:05 AM
|
Optimal Individualized Early Warning for Inpatient Adverse Events
Hossein Soleimani, Johns Hopkins University; Suchi Saria, Johns Hopkins University
10:35 AM
|
Bayesian Models for Automatic Landmark Detection on Elastic Curves
Justin Strait, Department of Statistics, The Ohio State University; Oksana A Chkrebtii, The Ohio State University; Sebastian Kurtek, The Ohio State University
10:35 AM
|
Missing Data Imputation Strategies for Different Estimands in Clinical Trials
Ye Tan, Pfizer; Steven Gilbert, Pfizer Inc.
10:35 AM
|
Sparse Multi-Class Vector AutoRegressive Models
Ines Wilms, KU Leuven; Christophe Croux, KU Leuven; Luca Barbaglia, KU Leuven
10:50 AM
|
Nonlinear Mixed-Effects Mixture Models for Clustering Longitudinal Data with an Application
Chongshu Chen, University of Rochester
10:50 AM
|
Policy Enforcement Through Measurement Precision: Effects in the Baseball Players' Labor Market
Brian M. Mills, University of Florida
10:55 AM
|
A Hierarchical Spatio-Temporal Analog Forecasting Model for Nonlinear Ecological Processes
Patrick McDermott, University of Missouri; Christopher Wikle, University of Missouri; Joshua Millspaugh, University of Montana
10:55 AM
|
Spectral Clustering for Dynamic Block Models
Sharmodeep Bhattacharyya, Oregon State University; Shirshendu Chatterjee, City University of New York
10:55 AM
|
Flexible Bayesian Additive Joint Models
Meike Köhler, Helmholtz Zentrum München; Nikolaus Umlauf, Universität Innsbruck; Sonja Greven, Ludwig-Maximilians-Universität München
11:00 AM
|
An EM Algorithm for Fitting the Generalized Odds-Rate Model to Interval Censored Data
Jie Zhou; Jiajia Zhang, University of South Carolina; Wenbin Lu, North Carolina State University
11:05 AM
|
Semiparametric Bayesian Models for Unbalanced Matched Case-Crossover Approach
Inyoung Kim, Virginia Tech; Feng Guo, Virginia Tech
11:15 AM
|
Limit Theorems for Eigenvectors of the Normalized Laplacian for Random Graphs
Minh Tang, Johns Hopkins University; Carey E Priebe, Johns Hopkins University
11:15 AM
|
Sparse Network Tomography for Anomaly Detection
Elizabeth Hou, University of Michigan; Yason Yilmaz, University of South Florida; Alfred Hero, University of Michigan
11:20 AM
|
A Comparison Study of Some Competing Accelerated Life Testing Models, with Applications to Class-H Insulation Data
Debaraj Sen, Concordia University
11:20 AM
|
Cerebrospinal Fluid Biomarker Signature in Alzheimer's Disease Genetic Association Landscape by Functional Linear Models.
Olga Vsevolozhskaya; Ilai Keren, Washington Department of Fish and Wildlife; David Fardo, University of Kentucky; Dmitri Zaykin, NIH/NIEHS
11:35 AM
|
Identifying Latent Structures in Restricted Latent Class Models
Zhuoran Shang, University of Minnesota; Gongjun Xu, University of Michigan
11:50 AM
|
Robust Genetic Prediction of Complex Traits with the Latent Dirichlet Process Regression Models
Xiang Zhou, University of Michigan; Ping Zeng, University of Michigan
11:55 AM
|
Semiparametric Time Varying Coefficient Models for Matched Case-Crossover Studies
Ana Maria Ortega-Villa, National Institutes of Health; Inyoung Kim, Virginia Tech
11:55 AM
|
Dynamic Posterior Exploration for Simultaneous Variable and Covariance Selection with Spike and Slab Priors
Sameer Kirtikumar Deshpande, The Wharton School; Veronika Rockova, University of Chicago; Edward I. George, Wharton, University of Pennsylvania
11:55 AM
|
Brain Dynamic Functional Connectivity: Modularity Assessment in a Task-Based Gustatory Study
Maria Kudela; Mario Dzemidzic, Department of Neurology Indiana University School of Medicine; Joaquin Goni, Purdue University; Brandon G Oberlin, Department of Neurology Indiana University School of Medicine; David Kareken, Department of Neurology Indiana University School of Medicine; Jaroslaw Harezlak, Indiana University School of Public Health
11:55 AM
|
Cluster-Enabled Inference for Subgroup Comparison of Copy Number Profiles Using Bayesian Change-Point Models for Profile Characterization
Miranda Lynch, Los Alamos National Laboratory
12:05 PM
|
Geometric Ergodicity of Gibbs Samplers in Bayesian Penalized Regression Models
Dootika Vats, University of Minnesota
12:15 PM
|
Conditional Models for Longitudinal Data with a Temrinal Event
Bin Nan, University of Michigan; Shengchun Kong, Gilead Sciences, Inc; John Kalbfleisch, University of Michigan
2:05 PM
|
Bayesian Low-Rank Graph Regression Models for Mapping Human Connectome Data
Eunjee Lee, University of Michigan; Hongtu Zhu, The University of Texas MD Anderson Cancer Center; Joseph G Ibrahim, UNC; Yong Fan, University of Pennsylvania
2:05 PM
|
Spatial Small Area Smoothing Models for Handling Survey Data with Nonresponse
Kevin Watjou, Hasselt University; Christel Faes, University Hasselt; Russell S. Kirby, College of Public Health, University of South Florida; Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina; Rachel Carroll, National Institute of Environmental Health Sciences; Mehreteab Aregay, Department of Public Health Sciences, Medical University of South Carolina; Yannick Vandendijck, University Hasselt
2:05 PM
|
Explaining Preference Heterogeneity with Mixed Membership Modeling
Marc Dotson, Brigham Young University
2:05 PM
|
Incorporation of Stochastic Engineering Models as Prior Information in Bayesian Medical Device Trials
Valentin Parvu, BDX Corporate/Shared services, BD
2:20 PM
|
Modeling of Stock Indices with HMM-SV Models
John Wulu, DHS/ICE & HSI; Edesiri B Nkemnole, Department of Mathematics, University of Lagos; John T Wulu, University of Maryland University College
2:20 PM
|
T-Geometric Regression Models with Applications to Zero-Inflated Count Data
Carl Lee, Central Michigan Univ; Felix Famoye, Central Michigan University; Alfred Akinsete, Marshall University
2:25 PM
|
Models for Microbial Community Population Structure
Curtis Huttenhower, Harvard T.H. Chan School of Public Health; Emma Schwager, Harvard School of Public Health; Boyu Ren, Harvard T.H. Chan School of Public Health; Eric A Franzosa, Harvard T.H. Chan School of Public Health
2:30 PM
|
Semiparametric Modeling and Estimation of the Terminal Behavior of Recurrent Marker Processes Before Failure Events
Kwun Chuen Gary Chan, University of Washington; Mei-Cheng Wang, Johns Hopkins University
2:30 PM
|
Statistical Models for Estimating HIV/AIDS Epidemics with Multiple Types of Prevalence Data
Le Bao, Penn State University
2:30 PM
|
Multivariate Small Area Estimation of Multidimensional Latent Economic Wellbeing Indicators
Angelo Moretti, University of Manchester; Natalie Shlomo, University of Manchester; Joseph Sakshaug, The University of Manchester
2:35 PM
|
Joint Models of Longitudinal Ordinal Outcomes with Competing Risks Survival Analysis
Xiao Fang, University of Texas Medical Branch; Kristofer Jennings, University of Texas Medical Branch
2:35 PM
|
Evolutionary State-Space Model and Its Application to Time-Frequency Analysis of Local Field Potentials
Xu Gao; Babak Shahbaba, University of California, Irvine; Norbert Fortin, University of California, Irvine; Hernando Ombao, KAUST and UC Irvine
2:45 PM
|
Bayesian Spatial Stream Network Models
Kristin Broms, Colorado State University; Mevin Hooten, Colorado State University; Ryan M. Fitzpatrick, Colorado Parks and Wildlife
2:50 PM
|
Unit-Level Logistic Mixed Effects Models for Small Area Estimation of Poverty Estimates
Blandine Bawawana, US Census Bureau; Xingyou Zhang, U.S. Census Bureau; Samuel Szelepka, U.S. Census Bureau; John Posey, US Census Bureau
2:50 PM
|
Semiparametric Regression for Interval-Censored Data with Informative Dropout
Donglin Zeng, University of North Carolina; Fei Gao, University of North Carolina; Danyu Lin, University of North Carolina
2:55 PM
|
Modeling Power to Detect Changes in HIV Incidence Through Routine ANC Attendance Data
Britta J. Jewell, UC Berkeley; Jennifer Smith, Imperial College London; Timothy B. Hallett, Imperial College London; Ann Duerr, Fred Hutchinson Cancer Research Center
2:55 PM
|
Locally D-Optimal Designs for Logistic Regression Models with Factorial Effects
Zhongshen Wang, Arizona State University; John Stufken, Arizona State University
3:05 PM
|
A Flexible Marginalized Two-Part Model for Semicontinuous Data
Valerie Smith, Duke University and Department of Veterans Affairs; John Preisser, University of North Carolina-Chapel Hill; Matthew Maciejewski, Duke University and Department of Veterans Affairs
3:05 PM
|
Spatio-Temporal Process Models for Spatial Correlation
Ephraim M Hanks, The Pennsylvania State University
3:05 PM
|
Asymptotic Efficiency of REML Error Components as a Function of Unbalancedness
Jyothsna Sainath, University of Utah
3:05 PM
|
A Bayesian Approach to Latent Class Modeling with Ordinal Response Data
Padma Sharma, UC Irvine
3:05 PM
|
Model Averaged Accelerated Failure-Time Models for Modeling Chemical Risk
Matthew Wheeler
3:05 PM
|
Transformation Models for Doubly-Censored and Clustered Survival Data
Jane-Ling Wang, University of California, Davis; Cong Xu, Stanford University; Yuru Su, Fred Hutchinson Cancer Research Center
3:20 PM
|
Robust Dose-Level Designs for Binary Responses
Wanchunzi Yu; John Stufken, Arizona State University
3:20 PM
|
Mixture Models for Left- and Interval-Censored Data: Applications to a Cancer Screening Cohort Assembled from Electronic Health Records
Li Cheung, National Cancer Institute; Qing Pan, George Washington University; Noorie Hyun, National Cancer Institute; Mark Schiffman, National Cancer Institute; Barbara Fetterman, Kaiser Permanente Northern California; Philip Castle, Albert Einstein School of Medicine; Thomas Lorey, Kaiser Permanente Northern California; Hormuzd Katki, National Cancer Institute
3:20 PM
|
Using Phylogenetic Models for Quantitative Trait Mapping with Multiple Loci
Katherine Thompson, University of Kentucky; Catherine Linnen, University of Kentucky
3:35 PM
|
Causal Models for Numerical Variables in Media Planning
Igor Mandel, Telmar Inc.
3:35 PM
|
What's Happening in Selective Inference I?
Emmanuel J. Candes, Stanford University
4:05 PM
|
|
Wednesday, 08/02/2017
|
A Comparison of IRT Models for Internet Ratings
Chiu-Hsing Weng, National Chengchi Univ
|
Mixed Eff ects Material Strength Models with Model Discrepancy
Jason Bernstein; Kathleeen Schmidt, Lawrence Livermore National Laboratory; Ana Kupresanin, Lawrence Livermore National Laboratory; Jeff Florando, Lawrence Livermore National Laboratory; Nathan Barton, Lawrence Livermore National Laboratory
|
Variable Selection And Nonlinear Effect Discovery in Partially Linear Mixture Cure Rate Models
Abdullah Masud, AbbVie
|
An Investigation of Conditional Heteroscedasticity Structural Change in S&P 500 Returns
Jinyu Du; V A Samaranayake, Missouri University of Science and Technology
|
Reliability Assessment of Multiple Component Systems Using Bayesian Hierarchical Models
James Gilman, NC State University; Alyson Wilson, North Carolina State University; Kassie Fronczyk, Institute for Defense Analyses
|
Comparing Quality of Care Across Hospitals: Template Matching Versus Conventional Approaches
Brenda Vincent, VA Center for Clinical Management Research; Hallie Prescott, VA Center for Clinical Management Research
|
Cyclic Nonlinear Structural Equation Models
Mario Nagase, Osaka University
|
A Bayesian Structural Model for Designing Financial Incentive Offers to Automotive Dealerships
Wenyi Wu, University of Michigan; Peter Lenk, University of Michigan
|
A Hierarchical Bayesian Approach to Modeling Lifetime Data
Colin Lewis-Beck; Eric Mittman, Iowa State University
|
Statistical Challenges and Possible Career Path in Aging and Dementia Research
Chengjie Xiong, Washington University School of Medicine
|
Analysis of Data from Complex Chemical Experiments: Application of Bayesian Hierarchical Models
Blaza Toman, NIST
|
Highly Robust Multiple Imputation Models Using BART
Michael R. Elliott, University of Michigan; Vincent Tan, Univerisity of Michigan; Carol Flannagan, Univerisity of Michigan
|
Tree-Based Models for Longitudinal Data
Brittany Green, University of Cincinnati; Peng Wang, University of Cincinnati
|
Association Study of Children's Methylation and Growth Trajectory Using Functional Mixed Models
Colleen McKendry, North Carolina State University; Arnab Maity, North Carolina State University; Jung-Ying Tzeng, North Carolina State University
|
Better Measurement of the Microbiome by Modeling and Removing Amplified Sequencing Errors
Benjamin John Callahan, North Carolina State University
8:35 AM
|
Climate Change, Extremes, and Impacts
Brian Reich, NCSU; Martin Tingley, Netflix; Michael Wehner, Lawrence Berkeley National Lab; Peter Sousounis, AIR Worldwide; Richard Smith, University of North Carolina Chapel Hill/SAMSI
8:35 AM
|
On the Semiparametric Bernstein-Von Mises Theorem in Regular and Nonregular Models
Judith N. Rousseau, Université Paris Dauphine
8:35 AM
|
Random Networks, Graphical Models, and Exchangeability
Alessandro Rinaldo, Carnegie Mellon University; Steffen Lilholt Lauritzen, University of Copenhagen; Kayvan Sadeghi, University of Cambridge
8:35 AM
|
A General Class of Additive Models for Recurrent Event Data
Russell Stocker, Indiana University of Pennsylvania
8:35 AM
|
Bootstrapping General ARIMA Models
Maher Qumsiyeh; Dalton Gannon, University of Dayton
8:35 AM
|
Marginal False Discovery Rates for Penalized Regression Models
Patrick Breheny, University of Iowa
8:35 AM
|
A Parallel EM Algorithm for Statistical Learning via Mixture Models
Geoffrey McLachlan, The University of Queensland
8:35 AM
|
Highly Robust Multiple Imputation Models Using BART
Michael R. Elliott, University of Michigan; Vincent Tan, Univerisity of Michigan; Carol Flannagan, Univerisity of Michigan
9:00 AM
|
Transition Models with Informative Cluster Size and Informative
Joseph Bible, NICHD; Danping Liu, National Institutes of Health; Paul S. Albert, National Cancer Institute/NIH
9:05 AM
|
Hierarchical Latent Factor Models for Improving the Prediction of Surgical Complications Across Hospitals
Elizabeth Lorenzi, Duke University; Katherine Heller, Duke University; Ricardo Henao, Duke University; Zhifei Sun, Duke University
9:35 AM
|
Calibration and Evaluation of Agent-Based Models for Disease Modeling
Shannon Gallagher, Carnegie Mellon; Sam Ventura, Carnegie Mellon University; William F Eddy, Carnegie Mellon University, Department of Statistics
9:35 AM
|
Challenges in Identifying and Addressing Sources of Uncertainty in Species classifications of Acoustic bat Calls Used for Monitoring
Katharine Banner, Montana State University; Kathi Irvine, US Geological Survey; Tom Rodhouse, National Park Service; Andrea Litt, Montana State University; Wilson Wright, US Geological Survey
9:35 AM
|
Simulation and Power Analysis of Generalized Linear Mixed Models
Brandon LeBeau, University of Iowa
9:35 AM
|
Bayesian Regression Models for Group Testing in the Presence of Dilution Effects
Md S. Warasi, Radford University; Timothy Hanson, University of South Carolina; Joshua Tebbs, University of South Carolina
9:35 AM
|
Tree-Based Models for Longitudinal Data
Brittany Green, University of Cincinnati; Peng Wang, University of Cincinnati
9:40 AM
|
Building Quantitative Structure?Activity Relationship Models Using Bayesian Additive Regression Trees
Dai Feng, Merck; Matthew Pratola, The Ohio State University; Robert McCulloch, Arizona State University; Vladimir Svetnik, Merck & Co., Inc.
9:50 AM
|
Hierarchical Models for Spatial Data with Errors That Are Correlated with the Latent Process
Jonathan R Bradley, Florida State University; Christopher Wikle, University of Missouri; Scott H. Holan, University of Missouri
9:55 AM
|
Studying Crime Trends in the United States in the XXI Century
Xuwen Zhu, The University of Louisville; Volodymyr Melnykov, The University of Alabama
10:05 AM
|
Association Study of Children's Methylation and Growth Trajectory Using Functional Mixed Models
Colleen McKendry, North Carolina State University; Arnab Maity, North Carolina State University; Jung-Ying Tzeng, North Carolina State University
10:05 AM
|
Mendelian randomization for survival outcomes using semiparametric transformation models
Yen-Tsung Huang, Academia Sinica
10:35 AM
|
Extreme Value Models and Data Visualization of Catastrophic Risk Analysis
John Elbl, AIR Worldwide; Bob Frady, Hazard Hub; Steve Kolk, Independent Consultant, Casualty Actuarial Society member; Danny Stout, Statistica Advanced Analytics
10:35 AM
|
What's Happening in Selective Inference II?
Emmanuel J. Candes, Stanford University
10:35 AM
|
Joint Modeling of Recurrent and Terminal Events in Nested Case-Control Studies
Ina Jazic, Harvard University; Sebastien Haneuse, TE-Harvard T.H. Chan School of Public Health; Virginie Rondeau, INSERM U1219 - ISPED
10:35 AM
|
Lagged Kernel Machine Regression for Identifying Time Windows of Susceptibility to Exposures of Complex Metal Mixtures
Shelley Liu, Icahn School of Medicine at Mount Sinai; Jennifer Bobb, Group Health Research Institute; Kyu Ha Lee, The Forsyth Institute; Chris Gennings, Icahn School of Medicine at Mount Sinai; Birgit Claus Henn, Boston University School of Public Health; David Bellinger, Harvard T.H. Chan School of Public Health; Christine Austin, Icahn School of Medicine at Mount Sinai; Lourdes Schnaas, National Institute of Perinatology, Mexico; Martha Tellez-Rojo, National Institute of Public Health, Mexico; Howard Hu, University of Toronto Dalla Lana School of Public Health; Robert Wright, Icahn School of Medicine at Mount Sinai; Manish Arora, Icahn School of Medicine at Mount Sinai; Brent Coull, Harvard T.H. Chan School of Public Health
10:35 AM
|
Data Analysis Techniques for Large and Changing Populations
Jason Lee, Johns Hopkins University Applied Physics Laboratory
10:35 AM
|
Approaches to Analysis of Treatment Interruptions Among Cancer Patients on Oral Oncolytic Agents
Asish Banik, Michigan State University; Charles W. Given, Michigan State University; Barbara Given, Michigan State University; Atreyee Majumder, Michigan State University; Alla Sikorskii, University of Arizona ; Eric Vachon, Michigan State University
10:35 AM
|
Analysis of Dichotomous Binary Data with Missing Data Imputed Under Jump to Reference and Copy Reference Models
Zachary Zimmer, Merck; Lei Xu, Merck; Frank Liu, Merck & Co. Inc.
10:50 AM
|
Generalized Random-Effects Linear Models to Examine Driver Safety
Ning Li, University of Washington; Linda Ng Boyle, University of Washington
10:50 AM
|
Maximum Likelihood Features for Generative Image Models
Lo-Bin Chang, The Ohio State University; Eran Borenstein, Microsoft Research; Wei Zhang, Smartleaf, Cambridge; Stuart Geman, Brown University
10:50 AM
|
Posterior Graph Selection and Estimation Consistency for High-Dimensional Bayesian DAG Models
Xuan Cao, University of Florida; Kshitij Khare, University of Florida; Malay Ghosh, University of Florida
10:50 AM
|
New Machine Learning Tools for Discovering and Utilizing Biomarkers in Precision Medicine
Daniel Luckett, University of North Carolina at Chapel Hill; Eric Laber, North Carolina State University; Michael R Kosorok, University of North Carolina at Chapel Hill
10:55 AM
|
Informing a Risk Prediction Model for Binary Outcomes with External Coefficient Information
Wenting Cheng, Department of Biostatistics, University of Michigan, Ann Arbor; Jeremy M. G. Taylor, University of Michigan; Bhramar Mukherjee, Department of Biostatistics, University of Michigan, Ann Arbor
10:55 AM
|
Solution Uncertainty Quantification for Differential Equations
Oksana A Chkrebtii, The Ohio State University; David A Campbell, Simon Fraser University; Ben Calderhead, Imperial College London; Mark A Girolami, University of Warwick
11:00 AM
|
Online Decision-Making with High-Dimensional Covariates
Hamsa Bastani, Stanford University; Mohsen Bayati, Stanford University
11:00 AM
|
Discriminative Power and Variable Selection in Logistic Regression Models under Outcome Misspecification
Jia Bao, NYU Langone Medical Center; Yongzhao Shao, New York University-School of Medicine
11:05 AM
|
Evaluating Safety Performance Measures for Motor Carriers Using Hierarchical Models
Xingwei Wu, University of Washington; Huizhong Guo; Linda Ng Boyle, University of Washington
11:05 AM
|
Likelihood-Ratio and $C(\Alpha)$ Tests for ODE Models
Yuping Yang, Simon Frase University; Richard Lockhart, Simon Fraser University; Jiguo Cao, Simon Frase University
11:05 AM
|
Fast and Accurate Bayesian Model Criticism and Conflict Detection Using Integrated Nested Laplace Approximations (INLA)
Egil Ferkingstad, University of Iceland; Leonhard Held, University of Zurich; Havard Rue, KAUST
11:05 AM
|
Discovering Non-Genetic Hidden Variates in Gene Expression Data in the Presence of Polygenicity
Mark Abney
11:05 AM
|
A Comparison of Risk Adjustment Models Based on Traditional Statistical and Machine Learning Techniques
Hong Kan; Hsien-Yen Chang, Johns Hopkins Bloomberg School of Public Health; Hadi Kharrazi, Johns Hopkins Bloomberg School of Public Health
11:15 AM
|
Optimal Designs for Binary Response Models with Multiple Nonnegative Variables
Mong-Na Lo Huang, National Sun Yat-Sen Univ; Shih-Hao Huang, National Sun Yat-sen University; Cheng-Wei Lin, National Sun Yat-sen University
11:20 AM
|
Adaptive Shrinkage in Polya Tree Type Models
Li Ma, Duke University
11:25 AM
|
Comparison of Approaches for Incorporating New Information into Existing Risk Prediction Models
Ruth Pfeiffer , National Cancer Institute, NIH, HHS; Sonja Grill, Technical University of Munich; Donna Ankerst , Technical University of Munich; Mitchell Gail , National Cancer Institute, NIH, HHS; Nilanjan Chatterjee, Johns Hopkins University
11:35 AM
|
A Score Test for Over-Dispersion in Marginalized Zero-Inflated Poisson Regression Models
Gul Inan, Middle East Technical University; John Preisser, University of North Carolina-Chapel Hill; Kalyan Das, University of Calcutta
11:35 AM
|
Testing Models for Weight Smoothing in the Current Employment Statistics Survey
Christopher Grieves, U.S. Bureau of Labor Statistics; Julie Gershunskaya, U.S. Bureau of Labor Statistics
11:35 AM
|
Bayesian Longitudinal Low-Rank Regression Models for Imaging Genetic Data from Longitudinal Studies
Zhaohua Lu, St Jude Children's Research Hospital; Zakaria Khondke, University of North Carolina at Chapel Hill; Joseph G Ibrahim, UNC; Hongtu Zhu, The University of Texas MD Anderson Cancer Center
11:35 AM
|
Bayesian Estimation of the Q Matrix in Cognitive Diagnosis Models
Yinghan Chen
11:35 AM
|
Standardizing Assessment of Time-Series Forecasting Models
Nicholas G. Reich, University of Massachusetts Amherst; Joshua Kaminsky, Johns Hopkins Bloomberg School of Public Health; Lindsay Keegan, Johns Hopkins Bloomberg School of Public Health; Stephen Lauer, University of Massachusetts - Amherst; Krzysztof Sakrejda, University of Massachusetts - Amherst; Justin Lessler, Johns Hopkins Bloomberg School of Public Health
11:35 AM
|
Bayesian Model Selection in the Presence of Heteroscedasticity in Linear Models
Thomas Metzger, Virginia Tech; Christopher T. Franck, Virginia Tech Department of Statistics
11:35 AM
|
Multivariate Stochastic Process Models for Correlated Responses of Mixed Type
Tony Pourmohamad, Genentech; Herbert Lee, University of California, Santa Cruz
11:50 AM
|
Sequential learning of deformation models in additive manufacturing through calibration of simulation models
Tirthankar Dasgupta, Rutgers University; Ying Hung
11:50 AM
|
Bayesian Modeling of Uncertainties in End-Use Electricity Consumption Amounts Inferences
Hiroaki Minato, U. S. Energy Information Administration (EIA)
11:50 AM
|
Variable Selection for a Mixture of Linear Mixed Effects Models
Yian Zhang, New York University; Lei Yang, New York University; Yongzhao Shao, New York University-School of Medicine
12:05 PM
|
Latent Space Models for Dynamic Bipartite Social Networks
Adrian E. Raftery, University of Washington
2:05 PM
|
Maximum likelihood inference for a large precision matrix
Yunzhang Zhu, Ohio State University ; Xiaotong T Shen, University of Minnesota; Wei Pan, University of Minnesota
2:05 PM
|
Multivariate Fay-Herriot Bayesian Estimation of Small Area Means Under Functional Measurement Error
Carolina Franco, U.S. Census Bureau; William Bell, U.S. Census Bureau; Serena Arima, Sapienza University, Rome; Brunero Liseo, Sapienza University, Rome; Gauri Datta, University of Georgia and US Census Bureau
2:05 PM
|
Regression Analysis of Multivariate Interval-Censored Failure Time Data Under Frailty Probit Models
Yifan Zhang, University of South Carolina; Lianming Wang, University of South Carolina
2:05 PM
|
A Bayesian Methodology for High-Dimensional Discrete Graphical Models with an Application to Protein Structure Prediction
Anwesha Bhattacharyya; Yves Atchade, University of Michigan
2:20 PM
|
One-Versus Two-Step Approaches to Survey Nonresponse Adjustments
Robert Fay, Westat; Minsun Riddles, Westat
2:20 PM
|
Efficient Estimation and Inference in Factor Models with Nonstationary Common And/Or Idiosyncratic Components
Haiqing Zhao, Purdue University; Mohitosh Kejriwal, Purdue University
2:20 PM
|
Semiparametric Single Index Regression Models for Censored Outcomes
Jin Wang, UNC Chapel Hill; Donglin Zeng, University of North Carolina; Danyu Lin, University of North Carolina
2:20 PM
|
An Adaptive Test on High-Dimensional Parameters in Generalized Linear Models
Chong Wu, University of Minnesota; Wei Pan, University of Minnesota; Gongjun Xu, University of Michigan
2:20 PM
|
Minimax Rates of Community Detection in Stochastic Block Models
Harrison H. Zhou, Yale University; Anderson Zhang, Yale University
2:30 PM
|
Spatial Temporal Exponential-Family Point Process Models for the Evolution of Social Systems
Mark Stephen Handcock, University of California - Los Angeles; Joshua D. Embree, RAND Corporation
2:30 PM
|
Cepstral Models: An Overview of Recent Advances
Scott H. Holan, University of Missouri
2:30 PM
|
Post-Model Selection Estimation for Regression Models with Spatial Autoregressive Errors
Tapabrata Maiti, Michigan State University; Liqian Cai, Liberty Mutual
2:35 PM
|
Nonparametric Methods for Irregularly Sampled Censored Data with Applications to Liver Transplant Allocations
Sujit K Ghosh, North Carolina State University; Bradley Turnbull, Apple Inc
2:45 PM
|
Model Calibration with Censored Data
Shan Ba, Procter & Gamble Company; Fang Cao, Georgia Institute of Technology; William Brenneman, The Procter & Gamble Company; Roshan Joseph Vengazhiyil, Georgia Institute of Technology
2:45 PM
|
Dynamic Transelliptical Graphical Models for Sparse Precision Matrix Estimation
Tzu-Chun Wu, University of Cincinnati; Emily L. Kang, University of Cincinnati
2:50 PM
|
Bayesian Nonparametric Models for Identification of Differential Genomic Signatures
Chiyu Gu; Subharup Guha, University of Missouri; Veera Baladandayuthapani, University of Texas MD Anderson Cancer Center
2:50 PM
|
Spatially-Dependent Multiple Testing Under Model Misspecification, with Application to Extreme Event Attribution
Mark Risser, Lawrence Berkeley National Laboratory; Christopher Paciorek, University of California, Berkeley
2:50 PM
|
Bayesian Methods for Non-Ignorable Dropout in Joint Models in Smoking Cessation Studies
Jeremy Gaskins, University of Louisville; Michael J Daniels, University of Texas at Austin
3:05 PM
|
Singularity Structure of Parameter Space and Posterior Contraction in Finite Mixture Models
Long Nguyen, University of Michigan; Nhat Ho, University of Michigan
3:05 PM
|
Evaluation of Simulation Models Through Different Computational Environments
Jiang Hu, FDA
3:05 PM
|
Shrinkage Priors for Poisson-Based Models and Their Applications
Fumiyasu Komaki, The University of Tokyo
3:05 PM
|
A Conditional Score Test for Homogeneity in Generalized Semiparametric Exponential Family Mixture Models
Rui Duan, University of Pennsylvania; Yang Ning, Cornell University; Bruce George Lindsay, The Pennsylvania State University, Department of Statistics; Yong Chen, University of Pennsylvania
3:05 PM
|
Poisson-Kernel Based Clustering on the Sphere: Convergence Properties, Initialization Rules and a Method of Sampling
Mojgan Golzy, State University of New York At Buffalo; Marianthi Markatou, University at buffalo, Department of Biostatistics; Alexander Foss, State University of New York at Buffalo
3:20 PM
|
Semiparametric Varying-Coefficient Nonlinear Regression for Interactions in Multifactor ANOVA Models with Unbalanced or Single Replications
Yumin Huang, Tunghai University
3:20 PM
|
Foreign Exchange Intervention Revisited: a New Way of Estimating Censored Models
Luis Melo, Banco de la Republica (Central Banck of Colombia); Mauricio Villamizar, Banco de la Republica (Central Bank of Colombia); Daniel Ordoñez, Banco de la Republica (Central Banck of Colombia)
3:35 PM
|
Semiparametric Regression Analysis of Multiple Interval-Censored and Right-Censored Events
Fei Gao, University of North Carolina; Donglin Zeng, University of North Carolina; Danyu Lin, University of North Carolina
3:35 PM
|
Estimation of the Likelihood for Context Set Models
Zsolt Talata, University of Kansas
3:35 PM
|
|
Thursday, 08/03/2017
|
Mortality Rate Estimation and Standardization for Public Reporting: Medicare's Hospital Compare
Edward I. George, Wharton, University of Pennsylvania; Veronika Rockova, University of Chicago; Paul Rosenbaum, University of Pennsylvania; Ville Satopaa, INSEAD; Jeffrey Silber, University of Pennsylvania
8:35 AM
|
What's Happening in Selective Inference III?
Emmanuel J. Candes, Stanford University
8:35 AM
|
Hurdle Models for Residential Solar Photovoltaic Systems Installations
Janice Lent, U.S. Energy Information Administration
8:35 AM
|
Modeling Financial Durations Using Estimating Functions
Nalini Ravishanker, University of Connecticut; Yaohua Zhang, University of Connecticut; Jian Zou, Worcester Polytechnic Institute; Aerambamoorthy Thavaneswaran, University of Manitoba
8:35 AM
|
Optimal Estimation of Co-Heritability in High-Dimensional Linear Models
Zijian Guo, University of Pennsylvania, Wharton School; Wangjie Wang , National University of Singapore ; Tony Cai, University of Pennsylvania; Hongzhe Li, University of Pennsylvania
8:35 AM
|
On the Estimation of Ultra-High-Dimensional Semiparametric Gaussian Copula Models
Qing Mai
8:35 AM
|
Variable Selection in Bayesian Kernel Machine Models and Its Applications
Sounak Chakraborty, University of Missouri, Columbia
8:35 AM
|
The Use of Propensity Weight Adjustments for a Mobile Panel Sample
Ronaldo Iachan, ICF International; John Boyle, ICF; Robert Tortora, ICF; Yangyang Deng, ICF
8:35 AM
|
Dynamic Prediction Intervals for Functional Data
Nicholas Rios, Montclair State University; Andrada E. Ivanescu, Montclair State University, Department of Mathematical Sciences
8:35 AM
|
On Estimating Predictive Performance Measures of Risk Prediction Models with External Validation Data
Hajime Uno, Dana Farber Cancer Institute; Eisuke Inoue, Medical Informatics, St. Marianna University School of Medicine
8:50 AM
|
Estimating Country Indexes Returns Based on Earnings Forecasts
Daiane Dos Santos, PUC - Rio de Janeiro; Ricardo Weiss, R Weiss Consultoria
8:50 AM
|
Instrumental Variable Restrictive Mean Survival Time Models
Xin Wang, University of Michigan; Douglas Earl Schaubel, University of Michigan
8:50 AM
|
Pseudo-Bayes and Pseudo-Empirical Bayes Estimators Using Crossed and Simple Models
Cheonsig Lee, Coastal Bend College; Sarjinder Singh, Texas A&M University-Kingsville; Stephen A. Sedory, Texas A&M University-Kingsville
8:55 AM
|
Measurement Error in Small Area Estimation: Functional vs. Structural vs. Naive Models
William Bell, U.S. Census Bureau; Gauri Datta, University of Georgia and US Census Bureau; Carolina Franco, U.S. Census Bureau; Hee Cheol Chung, University of Georgia
8:55 AM
|
Statistical Inference in Large Ising Graphical Models via Quadratic Programming
Zhao Ren, University of Pittsburg; Cun-Hui Zhang, Rutgers University; Harrison H. Zhou, Yale University; Sai Li, Rutgers University
8:55 AM
|
Bayesian Computing and Modeling for Nearest-Neighbor Gaussian Process Models
Sudipto Banerjee, UCLA Fielding School of Public Health
9:00 AM
|
Bayesian Hierarchical Models to Estimate Associations Between Air Pollution and Cause-Specific Morbidity in Multicity Epidemiologic Studies
Jenna Krall, George Mason University; Stefanie Ebelt Sarnat, Emory University
9:05 AM
|
Within-Strata vs. Full-range Predictor Variable Multiple Imputation Procedures for Cox Models
Philimon Gona, University of Massachusetts Boston; Vasco Chikwasha, University of Zimbabwe College of Health Sciences; Sowmya R Rao, Boston University
9:05 AM
|
Bayesian Variable Selection for Linear Regression Models with Non-Normal Error Distributions
Joyee Ghosh, University of Iowa
9:05 AM
|
Hierarchical Bayesian Models for Noisy Size Responses from Small Areas
Binod Manandhar, Worcester Polytechnic Institute
9:15 AM
|
Bayesian Estimation Under Dependent Informative Sampling
Terrance Savitsky, U.S. Bureau of Labor Statistics; Matthew Williams, Substance Abuse and Mental Health Services Administration
9:15 AM
|
A Likelihood Ratio Based Goodness of Fit Test for Graphical Models
Ritwik Mitra
9:15 AM
|
A Comparison of Three New Randomized Response Models for Simultaneous Estimation of Three Sensitive Dependent Characteristics and Their Overlaps
Oluwaseun Olanipekun; Stephen A. Sedory, Texas A&M University-Kingsville; Sarjinder Singh, Texas A&M University-Kingsville; Rongdong Wang, Texas A&M University-Kingsville
9:15 AM
|
Robust Procedure for Cure Models in Survival Analysis
Xiaoxia Han, NYU Langone Medical Center; Yilong Zhang, Merck Research Laboratories; Jia Bao, NYU Langone Medical Center; Yongzhao Shao, New York University-School of Medicine
9:20 AM
|
Bayesian Estimation of the Default Rate Distributions with Non-Gaussian Single Factor Models
Takayuki Shiohama, Tokyo University of Science
9:20 AM
|
Leaning Multivariate High-Dimensional Point Process Models
Garvesh Raskutti, University of Wisconsin-Madison
9:25 AM
|
A Causal Inference Analysis of the Effect of Wildland Fire Smoke on Ambient Air Pollution Levels and Health Burden
Ana Rappold, US EPA; Brian Reich, NCSU; Alexandra Larsen, North Carolina State University
9:25 AM
|
A Nonparametric Mixture of Semiparametric Bayesian Hierarchical Survival Models for Pathway Based Analysis
Lin Zhang, Virginia Tech; Inyoung Kim, Virginia Tech
9:35 AM
|
Hierarchical Models for Combining N-Of-1 Trials
Youdan Wang
9:35 AM
|
Sensitivity Analyzes for Causal Moderation Models for Zero-Inflated Data
Robert Gallop; Paul Crits-Christoph, University of Pennsylvania
9:35 AM
|
Optimizing Acute Myelogenous Leukemia Treatment Regimes via Sequential Conditional Structural Mean Models
Geoffrey Johnson, GlaxoSmithKline; Abdus Wahed, University of Pittsburgh
9:50 AM
|
Dynamic Spatial-Temporal Point Process Models via Conditioning
Athanasios Micheas, Univ of Missouri- Columbia; Justin Okenye, University of Missouri; Christopher Wikle, University of Missouri
9:50 AM
|
Copula-Based Semiparametric Models for Spatial-Temporal Data
Huixia Judy Wang, The George Washington University; Yanlin Tang, George Washington University; Ying Sun, King Abdullah University of Science and Technology
9:50 AM
|
Bayesian Dynamic Linear Models for Spot Prices of Hydrocarbon Gas Liquids
Peter Gross, U.S. Energy Information Administration
9:55 AM
|
Nonparametric Conditional Graphical Models with High-Dimensional Predictors
Yi Li, University of Michigan
9:55 AM
|
Multivariate Models of Realized Beta and Stochastic Volatility
Katherine Ensor, Rice University
9:55 AM
|
Dynamic Predictions Based on Joint Models
Jeremy M. G. Taylor, University of Michigan; Krithika Suresh, University of Michigan; Alex Tsodikov, University of Michigan
10:35 AM
|
Reconciling Curvature and Importance Sampling Based Procedures for Summarizing Case Influence in Bayesian Models
Zachary Micah Thomas, Eli Lilly and Company; Mario Peruggia, The Ohio State University; Steven MacEachern, The Ohio State University
10:35 AM
|
Locally-Interacting Particle Filters: Statistical Trade-Offs and Stability
Alexandre Thiery, National University of Saingpore; Deborshee Sen, National University of Singapore
10:35 AM
|
Modeling Spatially Correlated and Heteroscedastic Errors in Ethiopian Maize Trials
Tigist Damesa, University of Hohenheim; Hans-Peter Piepho, University of Hohenheim; Jens Möhring, University of Hohenheim; Johannes Forkman, Swedish University of Agricultural Sciences
10:35 AM
|
Bayesian Nonparametric Monotone Regression of Dynamic Latent Traits in Item Response Models
Yang Liu, University of Connecticut; Xiaojing Wang, University of Connecticut
10:35 AM
|
Early-Life Exposures and Longitudinal Growth Patterns: A Comparison of Statistical Methods
Brianna Heggeseth, Williams College
10:50 AM
|
Models for Dependent Data in Single Cell Gene Expression
Andrew McDavid, University of Rochester Medical Center - Rochester, NY
10:50 AM
|
A Novel Algorithm for Clustering of Data on the Unit Sphere via Mixture Models
Hien Nguyen, LA TROBE UNIVERSITY
10:55 AM
|
Residuals and Influence in Bayesian Ensemble Models
Robert McCulloch, Arizona State University; Matthew Pratola, The Ohio State University
11:00 AM
|
Dynamic Landmark Prediction and Model Selection for Genetic Mixture Models
Tanya Garcia, Texas A&M University; Layla Parast, RAND Corporation
11:00 AM
|
Spatial Regression Models on Water Criticality Index in the Upperstream Citarum Watershed, Indonesia
Yekti Widyaningsih, Universitas Indonesia
11:05 AM
|
Smartphone-Based Diagnostics of Space-Time Models: From Movies to Apps
Stefano Castruccio, Newcastle University; Marc G. Genton, KAUST
11:15 AM
|
Merging K-Means Solutions for Clustering
Semhar Michael, South Dakota State University; Volodymyr Melnykov, The University of Alabama
11:15 AM
|
Efficient Affine Invariant Clustering with Gaussian Models of General Covariance Structures
Hsin-Hsiung Huang, UCF
11:15 AM
|
Forecast Evaluation with Imperfect Observations and Imperfect Models
Julie Bessac, Argonne National Laboratory; Philippe Naveau , Laboratoire des Sciences du Climat et l'Environnement (LSCE) CNRS; Aurelien Ribes , CNRM - Meteo France ; Emil Mihai Constantinescu , Argonne National Laboratory ; Mihai Anitescu, Argonne National Laboratory
11:20 AM
|
A Finite Mixture Model Approach to Regression Under Covariate Misclassification
Jingyu He; P. Richard Hahn, University of Chicago Booth School of Business; Michelle Xia, Northern Illinois University
11:35 AM
|
Outlier Research in the Annual Survey of Local Government Finances
Peter Schilling, US Census Bureau; Redouane Betrouni, US Census Bureau; Bac Tran, US Census Bureau
11:35 AM
|
Sparse Pairwise Likelihood Estimation for Multivariate Longitudinal Mixed Models
Samuel Mueller, University of Sydney; Alan H Welsh, The Australian National University; Francis KC Hui, The Australian National University
11:50 AM
|
Missing Values in Linear Dynamic Panel Models - a Bayesian Approach Towards Model Comparison
Marcel Preising, University of Bamberg; Christian Aßmann, University of Bamberg
11:50 AM
|
Robust Estimation for the Annual Survey of Public Employment & Payroll Using Mixture of Linear Mixed-effects Models with the MCMC Procedure
Giang Trinh, Census Bureau; Bac Tran, US Census Bureau
11:50 AM
|
|
|
