Keyword Search
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CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Likelihood returned 140 record(s)
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Sunday, 07/30/2017
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Approximate Confidence Distribution Computing: An Effective Likelihood-Free Method with Statistical Guarantees
Suzanne Thornton, Rutgers University; Minge Xie, Rutgers University
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Data-Driven Confidence Interval Estimation Incorporating Prior Information with an Adjustment for Skewed Data
Li Zou, State University of New York At Buffalo; Albert Vexler, State University of New York at Buffalo; Alan Hutson, Roswell Park Cancer Institute
2:05 PM
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Composite Likelihood Estimation for Random-Effect Network Models
Yanjun He, University of Washington; Peter Hoff, Duke University
2:35 PM
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A Maximum Likelihood Approach for Non-Invasive Cancer Diagnosis Using Methylation Profiling of Cell-Free DNA from Blood
Carol Sun, Oak Park High School; Wenyuan Li, UCLA
2:50 PM
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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
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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
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Evaluating Particle Filtering Methods for Complex Multi-Pathogen Disease Systems
Xi Meng, University of Massachusetts Amherst; Nicholas G. Reich, University of Massachusetts Amherst
3:20 PM
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A Simple Extension of the FGM Copula for Negative Association
Kahadawala Cooray, Central Michigan University
3:35 PM
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Convergence Results for Identification of Systems with Binary Subsystems
Long Wang, Johns Hopkins University; James C Spall, Applied Physics Laboratory
3:35 PM
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Confidence Distributions for Regime Shifts
Nils Lid Hjort, University of Oslo
4:05 PM
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Empirical Likelihood in Biased Sampling Problems
Jing Qin, National Institute of Allergy and Infectious Diseases
4:05 PM
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A Maximum Likelihood Approach to Power Calculations for Stepped Wedge Designs of Binary Outcomes
Xiaomei Liao, AbbVie; Lauren Kunz, NIH; Sharon-Lise Normand, Harvard Medical School; Donna Spiegelman, Harvard T.H. Chan School of Public Health
4:05 PM
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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
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A New Scope of Penalized Empirical Likelihood with High-Dimensional Estimating Equations
Chengyong Tang, Temple University; Jinyuan Chang, Southwestern University of Finance and Economics; Tong Tong Wu, University of Rochester
4:25 PM
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Estimating the Number of Tax Returns Required to Be Filed: Nonparametric Methods to Address Respondent Rounding
Minsun Riddles, Westat; Sharon Lohr, Westat; J. Michael Brick, Westat; Patrick T. Langetieg, Internal Revenue Service; J. Mark Payne, Internal Revenue Service; Alan H. Plumley, Internal Revenue Service
4:25 PM
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Some Models for Load-Sharing Systems and Analyzes
Narayanaswamy Balakrishnan, McMaster University
4:30 PM
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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
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Empirical Likelihood Estimator of Causal Effect under Subclassification
Junvie Pailden, Southern Illinois University Edwardsville
4:35 PM
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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
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Likelihood-Based Inference for Partially Observed Spatiotemporal Dynamics: Measles as a Case Study
Edward Ionides, University of Michigan; Joonha Park, University of Michigan
4:55 PM
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Multiply Robust Estimation for Causal Treatment Effect and Average Treatment Effect Among Treated When Treatment Heterogeneity Exists
Lu Wang, University of Michigan; Peisong Han, University of Waterloo; Daniel Almirall, University of Michigan
5:05 PM
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Inference in Gaussian DAGs with Known Partial Ordering
Syed Rahman, University of Florida
5:20 PM
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Monitoring Test for One-Sided Multiple Quality Indices
Guangyu Zhu, University of British Columbia; JIahua Chen, University of British Columbia
5:25 PM
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Detecting Circulating Tumor DNA Sequences
Victor Song, University of North Texas
5:35 PM
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Monday, 07/31/2017
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Spline Density Estimation and Inference with Model-Based Penalties
Jian Shi, University of California, Santa Barbara
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Sub-Group Analysis with Nonparametric Unimodal Symmetric Error Distribution
Yizhao Zhou; Ao Yuan, Georgetown University; Ming T Tan, Georgetown University
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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
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A Joint Model for Mixed and Censored Longitudinal Data and Survival Data, with Application to HIV Vaccine Studies
Tingting Yu; Lang Wu, UBC; Peter Gilbert, Fred Hutchinson Cancer Research Center
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Comparing Two Correlated ROC Curves: a Generalized Pivotal Quantity Approach
Yonggang Zhao, Skyview Research; Qianqiu Li, Johnson and Johnson
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Enhancing Power of Case-Control Studies by Using Prevalent Cases
Marlena Maziarz, National Cancer Institute; Jing Qin, National Institute of Allergy and Infectious Diseases; Ruth Pfeiffer , National Cancer Institute, NIH, HHS
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Bayesian Estimation and Uncertainty Quantification in Differential Equation Models
Prithwish Bhaumik, Quantifind Inc.
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Varying-Coefficient Models for Dynamic Networks
Jihui Lee, Columbia University; Gen Li, Columbia University; James D. Wilson, University of San Francisco
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Parsimonious and Efficient Construction of Composite Likelihood Equations by L1-Penalization
Zhendong Huang
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Inference in a Hidden Markov Model with Log-Concave Emission Densities
Nathalie Akakpo, University Pierre and Marie Curie, Paris, France
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Green Power Statistics: Local Wind Speed Modeling as Basis for Wind Turbine Performance Prediction
Marina Nechayeva, LaGuardia Community College ; Malgorzata Marciniak, LaGuardia Community College; Vladimir Przhebelskiy , LaGuardia Community College ; Michael Wiley, LaGuardia Community College ; Paul DeVries, LaGuardia Community College
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Comparison of Model selction and Averaging for Collaborative Studies
Andrew Rukhin
8:35 AM
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The Need and Methods for Routine Inclusion of Model Uncertainty in Statistical Results
Hsin-wen Chang; Hariharan Iyer, National Institute of Standards and Technology; Yi-Ching Yao, Institute of Statistical Science, Academia Sinica
8:55 AM
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Varying-Coefficient Models for Dynamic Networks
Jihui Lee, Columbia University; Gen Li, Columbia University; James D. Wilson, University of San Francisco
9:15 AM
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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
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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
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Parsimonious and Efficient Construction of Composite Likelihood Equations by L1-Penalization
Zhendong Huang
9:20 AM
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Green Power Statistics: Local Wind Speed Modeling as Basis for Wind Turbine Performance Prediction
Marina Nechayeva, LaGuardia Community College ; Malgorzata Marciniak, LaGuardia Community College; Vladimir Przhebelskiy , LaGuardia Community College ; Michael Wiley, LaGuardia Community College ; Paul DeVries, LaGuardia Community College
9:40 AM
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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
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Bayesian Estimation and Uncertainty Quantification in Differential Equation Models
Prithwish Bhaumik, Quantifind Inc.
9:55 AM
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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
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A Nonparametric Approach for Partial Areas Under ROC Curves
Hanfang Yang, Renmin Univeristy of China; Kun Lu, Princeton University; Yichuan Zhao, Georgia State University
10:35 AM
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Composition Estimation from Sparse Count Data via a Regularized Likelihood
Hongzhe Li, University of Pennsylvania; Yuanpei Cao, University of Pennsylvania; Anru Zhang, University of Wisconsin-Madison
10:35 AM
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Empirical Likelihood Confidence Intervals for Mean Medical Cost
Gengsheng Qin, Georgia State University; Jenny Jeyarajah, Georgia State University
10:35 AM
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Synthesizing Correlations by Numerical Likelihood Approach with Application
Myung Soon Song, SUNY Cortland
10:50 AM
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Modeling and Estimation of Contagion-Based Social Network Dependence with Time-To-Event Data
Lin Yu, North Carolina State University; Wenbin Lu, North Carolina State University
10:50 AM
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Modeling Count Data from a Complex Survey using Pseudo Maximum Likelihood
Mulugeta Gebregziabher, MUSC; Lin Dai, Medical University of South Carolina
10:55 AM
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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
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Signal Detection from Large Drug Safety Databases
Ram Tiwari, FDA/CDER/OT/OB
11:05 AM
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Analysis of Multilevel Complex Survey Data: Comparison of Procedures from Several Software
Lin Dai, Medical University of South Carolina; Mulugeta Gebregziabher, MUSC
11:15 AM
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Bayesian Inference in Stochastic Reaction Networks
Daniel Linder, Medical College of Georgia - Augusta, GA; Grzegorz Rempala, Mathematical Biosciences Institute, Ohio State University
11:15 AM
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Inference in a Hidden Markov Model with Log-Concave Emission Densities
Nathalie Akakpo, University Pierre and Marie Curie, Paris, France
11:35 AM
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Enhancing Power of Case-Control Studies by Using Prevalent Cases
Marlena Maziarz, National Cancer Institute; Jing Qin, National Institute of Allergy and Infectious Diseases; Ruth Pfeiffer , National Cancer Institute, NIH, HHS
11:40 AM
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Semiparametric Odds Ratio Model for Multivariate Survival Times
Hua Yun Chen, University of Illinois at Chicago
11:55 AM
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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
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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
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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
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A Missing Technique for Estimating Univariate Multiple Missing Values-An Advanced Re-sampling Method for Correlated Observations
Silvia Sharna, Ball State University; Mian Adnan, Ball State University; Rahmatullah Imon, Ball State University
2:50 PM
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Initial Severity-Dependent Longitudinal Model in Application for Depression Studies
Seonjin Kim, Miami University; Hyunkeun Cho; Xianyang Zhang, Texas A&M University
3:05 PM
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A Semiparametric Two-Part Model for Longitudinal Semi-Continuous Data
Lixuan Yin; Guoqing Diao, George Mason University; Aiyi Liu, National Institutes of Health/NICHD
3:20 PM
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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
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Alternative Methods for Selecting Households for Administrative Record Enumeration in Place of Nonresponse Follow-Up for the 2020 Census
Richard Griffin, U.S. Census Bureau
3:25 PM
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Tuesday, 08/01/2017
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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
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Semiparametric Regression with a Mixture Model with Both Known and Unknown Components
Weibin Zhong, Georgetown University Medical Center; Ao Yuan, Georgetown University; Kepher H Makambi, Georgetown University
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On the Hazard Function of Kumaraswamy Distribution and Associated Inference
Rajarshi Dey, University of South Alabama; Nutan Mishra, University of south alabama
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Using imputed genotype data in the joint score tests for genetic association and gene-environment interactions in case-control studies
Minsun Song, Department of Statistiscs, Sookmyung Women's University
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Optimal hypothesis testing for stochastic block models with growing degrees
Debapratim Banerjee, University of Pennsylvania; Zongming Ma, University of Pennsylvania
8:35 AM
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Determining Dose-Response Relationships by Bayesian Averaging of Multiple Models
A. Lawrence Gould, Merck Research Laboratories
8:50 AM
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Investigating the Impact of Blood Pressure Lowering Medications on Blood Pressure Distributions
Saryet Kucukemiroglu, Florida State University; Dan McGee, Florida State University
9:05 AM
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Outcome-Dependent Sampling with Interval-Censored Failure Time Data
Qingning Zhou, University of North Carolina at Chapel Hill; Jianwen Cai, University of North Carolina at Chapel Hill; Haibo Zhou, University of North Carolina at Chapel Hill
9:20 AM
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On the Likelihood Ratio Test for Gaussian Mixtures Based on the Nonparametric Maximum Likelihood Estimator
Wenhua Jiang, Fudan University; Cun-Hui Zhang, Rutgers University
9:20 AM
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Generalization of Three Weibull Extensions with Applications in Renal Failure Data
Nonhle Channon Mdziniso, Central Michigan University; Kahadawala Cooray, Central Michigan University
9:35 AM
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Analysis of Multi-State Models with Misclassied States
Grace Y Yi, University of Waterloo; Wenqing He, University of Western Ontario
9:50 AM
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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
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Top-K Rank Aggregation from Pairwise Comparisons
Yuxin Chen
10:35 AM
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A Partition Weighted Kernel (PWK) Method for Estimating Marginal Likelihoods
Ming-Hui Chen, University of Connecticut; Yu-Bo Wang, National Institutes of Health; Lynn Kuo, University of Connecticut; Paul O. Lewis, University of Connecticut
10:35 AM
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On the Properties of the Gradient of Log Empirical Likelihood
Sanjay Chaudhuri, National University of Singapore
10:35 AM
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Inferential Procedures for Dependent Images
Maximillian Chen, Sandia National Laboratories
10:50 AM
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Different Paradigms of Interpretation for Forensic Value of Evidence Quantification
Danica Ommen, South Dakota State University; Christopher Saunders, South Dakota State University; Reinoud Stoel, Netherlands Forensic Institute; Peter Vergeer, Netherlands Forensic Institute
11:05 AM
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Bayesian Clustering and Dimension Reduction in Multivariate Air Pollution Extremes
Sabrina Vettori, King Abdullah University of Science and Technilogy; Raphael Huser, KAUST; Marc G. Genton, KAUST
11:35 AM
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On the Hazard Function of Kumaraswamy Distribution and Associated Inference
Rajarshi Dey, University of South Alabama; Nutan Mishra, University of south alabama
11:55 AM
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Maximum Likelihood Multiple Imputation: a More Efficient Approach to Repairing and Analyzing Incomplete Data
Paul T von Hippel, University of Texas
2:05 PM
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Testing for Model Adequacy in Censored Location-Scale Families
Sundarraman Subramanian, New Jersey Institute of Technology
2:20 PM
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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
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Number of Samples Needed for Model Selection with Confidence
Sean Carver, American University
2:35 PM
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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
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Asymptotic Efficiency of REML Error Components as a Function of Unbalancedness
Jyothsna Sainath, University of Utah
3:05 PM
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Wednesday, 08/02/2017
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Empirical Likelihood Methods on Functional Time Series Data
Guangxing Wang, University of California, Davis; Wolfgang Polonik, University of California, Davis
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A Control Chart for Joint Monitoring of Parameters of a Shifted Exponential Distribution Under Penalized Maximum Likelihood Estimation
Austin Brown, University of Northern Colorado; Bryce Whitehead, University of Northern Colorado
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Estimation and Model Selection by Data-Driven Weighted Likelihoods
Sam-Erik Walker, Dept. of Math., Univ. of Oslo; Nils Lid Hjort, University of Oslo
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Adaptive Pruning for Random Forests: It Helps
Thomas Loughin, Simon Fraser University; Andrew Henrey, Simon Fraser University
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More Powerful Tests For Simple-Order Testing Problem With Scale Paremeters In Gamma Distributions
Huimei Liu, National Chengchi University; Roger Berger, Arizona State University; Chia-Hao Chan
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Data-Adaptive Statistics for Multiple Hypothesis Testing in High-Dimensional Settings
Weixin Cai, University of California, Berkeley; Alan Hubbard, University of California, Berkeley
8:35 AM
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Conditional Likelihood Ratio Test for Multivariate One-Sided Hypotheses with Missing Data
Madhurima Majumder, University of Rochester; Michael McDermott, University of Rochester
8:50 AM
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Causal Inference in a Big Data World - The Roadmap
Laura B Balzer, Harvard T.H. Chan School of Public Health
9:05 AM
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A Geometric Framework for Density Modeling
Sutanoy Dasgupta, Florida State University
9:20 AM
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Estimation and Model Selection by Data-Driven Weighted Likelihoods
Sam-Erik Walker, Dept. of Math., Univ. of Oslo; Nils Lid Hjort, University of Oslo
9:30 AM
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Adaptive Pruning for Random Forests: It Helps
Thomas Loughin, Simon Fraser University; Andrew Henrey, Simon Fraser University
9:35 AM
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Approximate Confidence Regions for Consensus Mean Vector in Heteroscedastic Multivariate One-Way Random Model
Jian Zhao, The EMMES Corporation
10:05 AM
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Empirical Likelihood Inference for Complex Surveys and the Design-Based Oracle Variable Selection Theory
Changbao Wu, University of Waterloo; Puying Zhao, University of Waterloo; David Haziza, University of Montreal
10:35 AM
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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
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A Time Series Model for Boolean Random Sets
Khalil Shafie, University of Northern Colorado; Mostafa Zahed, University of Northern Colorado
10:50 AM
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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
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Bayesian Estimation of Case-Crossover Designs with Repeated Events
Daniel L. Gillen, University of California, Irvine; Sevan Gulesserian, University of California, Irvine
11:15 AM
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Fitting a Stochastic Differential Equation Model to Eye Tracking Data
Yunlong Nie, Simon Fraser University
11:50 AM
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Estimation of GARCH Process by Empirical Likelihood
Kenichiro Tamaki, Waseda University
12:05 PM
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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
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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
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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
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Stratified Semiparametric Density Ratio Model
Moming Li, George Mason University; Guoqing Diao, George Mason University
2:20 PM
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Tukey Max-Stable Processes for Spatial Extremes
Ganggang Xu, Binghamton University; Marc G. Genton, KAUST
2:35 PM
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Nested Hierarchical Functional Data Modeling and Inference for the Analysis of Functional Plant Phenotypes
Yuhang Xu, University of Nebraska-Lincoln; Yehua Li, Iowa State University; Dan Nettleton, Iowa State University
2:50 PM
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Global Rates of Convergence in Log-Concave Density Estimation
Richard J. Samworth, Statistical Laboratory, University of Cambridge; Arlene Kyoung Hee Kim, Sungshin Women's University
2:55 PM
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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
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Nonparametric Copula Estimation for Censored Data via Empirical Likelihood
Bin Dong
3:20 PM
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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
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Estimation of the Likelihood for Context Set Models
Zsolt Talata, University of Kansas
3:35 PM
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Thursday, 08/03/2017
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Parameter Inference for a Three-Parameter Generalized Birnbaum- Saunders Distribution
Naijun Sha, University of Texas At El Paso
8:35 AM
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Bayesian Analysis of Survey Data with Sampling Weights
Luis Leon Novelo, University of Texas-Health Science Center At Houston-School of Public Health; Terrance Savitsky, U.S. Bureau of Labor Statistics
8:55 AM
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A Robust Pseudolikelihood-Based Inference of Personalized Utility Functions Through Multiple Outcomes Network Meta-Analysis
Yong Chen, University of Pennsylvania; Rui Duan, University of Pennsylvania
8:55 AM
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Combining Subsystem and Full System Data with Application to Cold-Formed Steel Shear Wall
Guanbo Bian, Johns Hopkins University; Long Wang, Johns Hopkins University; Benjamin Schafer, Johns Hopkins University; James C Spall, Applied Physics Laboratory
9:05 AM
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Maximum Likelihood Estimation of the Mode of a Continuous Distribution (Without Grouping)
John Paul DeLong
9:05 AM
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Using Ranked Set Sampling with Binary Outcomes in Cluster Randomized Designs
Mumu Wang, Southern Methodist University; Xinlei Wang, Southern Methodist University; Johan Lim, Seoul National University
9:15 AM
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A Likelihood Ratio Based Goodness of Fit Test for Graphical Models
Ritwik Mitra
9:15 AM
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Maximum Likelihood-Based Regression with a Continuous Exposure Variable Assessed in Pools and Subject to Measurement and Processing Errors
Dane Van Domelen, Rollins School of Public Health, Emory University; Emily Mitchell, Agency for Healthcare Research and Quality; Amita Manatunga, Emory University; Robert H Lyles, Rollins School of Public Health, Emory University; Enrique F Schisterman, Eunice Kennedy Shriver National Institute of Child Health and Human Development
9:35 AM
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Likelihood Based Approaches for Missing Data with Imputation Guided by the Worst Observed Responses
Frank Liu, Merck & Co. Inc.; Fang Liu, Merck & Co., Inc.; Devan Mehrotra, Merck & Co. Inc.
9:35 AM
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A Bivariate Asymmetric Laplace Distribution
Matthew Arvanitis
9:35 AM
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A Three-Groups Bayesian Approach to Identifying Beneficial and Deleterious Genes with Applications to Parkinson's Disease
Daisy Philtron, The Pennsylvania State University; Benjamin A Shaby, Penn State University
10:05 AM
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Local Likelihood Estimation for Nonstationary Covariance Functions with Applications to Climate Model Emulation
Yuxiao Li, King Abdullah University of Science and Technology; Ying Sun, King Abdullah University of Science and Technology
11:05 AM
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A COMPARISON AMONG BAYESIAN, MAXIMUM LIKELIHOOD, and MAXIMUM ENTROPY INFERENCE METHODS
Jose Guardiola, Texas A&M University-CC; Hassan Elsalloukh, University of Arkansas at Little Rock
11:15 AM
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Exact Subsampling MCMC
Mattias Villani, Linkoping University
11:25 AM
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Efficient Asymptotic Variance Reduction When Estimating Volatility in High Frequency Data
Yoann Potiron, Keio University Faculty of Business and Commerce; Simon Clinet, The University of Tokyo
11:35 AM
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The Adaptive "learn-As-You-Go" Design for Multi-Stage Intervention Studies
Daniel Nevo, Harvard T.H. Chan School of Public Health; Judith Lok, Harvard T H Chan School of Public Health; Donna Spiegelman, Harvard T.H. Chan School of Public Health
11:35 AM
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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
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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
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A COM-Type Generalization of the Negative Binomial Distribution with Applications
Ram Tripathi, UTSA, Texas; Sudip Roy, University of Texas at San Antonio; Narayanaswamy Balakrishnan, McMaster University
11:50 AM
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