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Keyword Search Criteria: ROC returned 270 record(s)
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Sunday, 07/29/2018
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Nonparametric Measures of Local Causality and Tests of Local Non-Causality in Time Series
Felix Camirand Lemyre, School of mathematics and statistics, University of Melbourne; Taoufik Bouezmarni, Université de Sherbrooke; Jean-François Quessy, Université du Québec à Trois-Rivières
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Uncertainty Quantification of Stochastic Computer Model for Binary Black Hole Formation
Luyao Lin, Simon Fraser University; Jim Barrett, University of Birmingham; Derek Bingham, Simon Fraser University; Ilya Mandel, University of Birmingham
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Gaussian Process Regression with Large Data Sets: Has the Problem Been Solved?
Sonja Surjanovic, University of British Columbia; William Welch, University of British Columbia
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THE INEQUALITY PROCESS' (IP's) FOOTPRINT in STOCK MARKET
John Angle, The Inequality Process Institute LLC
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Survival Analysis Methods for Characterizing B-Cell Mutation Processes
David A. Shaw, Fred Hutchinson Cancer Research Center; Jean Feng, University of Washington; Vladimir N. Minin, University of California, Irvine; Noah Simon, University of Washington; Erick A. Matsen, Fred Hutchinson Cancer Research Center
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Monte Carlo Tree Search and AlphaZero: Past, Present, and Future
Michael Fu, Smith School of Business
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Creating Counting Process Intervals with Ease
Cynthia Crowson, Mayo Clinic; Terry M Therneau, Mayo Clinic; Elizabeth J Atkinson, Mayo Clinic
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Statistical Approach for Investigating Change in Mutational Processes During Cancer Growth and Development
Zhi Yang, University of Southern California; Priyatama Pandey, University of Southern California; Darryl Shibata, University of Southern California; Paul Southern Marjoram, University of Southern California; Kimberly Siegmund, University of Southern California
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Multi-Scale Vecchia Approximation of Gaussian Processes
Jingjie Zhang, Texas A&M University; Matthias Katzfuss, Texas A&M University
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THE INEQUALITY PROCESS' (IP's) FOOTPRINT in STOCK MARKET
John Angle, The Inequality Process Institute LLC
2:30 PM
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BLMM: Linear Mixed Effects Model for Big Data Using Partial EM Procedure
Jang Ik Cho, Case Western Reserve University; Jiayang Sun, Case Western Reserve University
2:35 PM
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Interacting Cluster Point Process Model for Epidermal Nerve Fibers
Guilherme Ludwig, University of Campinas; Nancy Lopes Garcia, University of Campinas; Peter Guttorp, University of Washington / Norwegian Computing Center
2:45 PM
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Survival Analysis Methods for Characterizing B-Cell Mutation Processes
David A. Shaw, Fred Hutchinson Cancer Research Center; Jean Feng, University of Washington; Vladimir N. Minin, University of California, Irvine; Noah Simon, University of Washington; Erick A. Matsen, Fred Hutchinson Cancer Research Center
3:00 PM
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Monte Carlo Tree Search and AlphaZero: Past, Present, and Future
Michael Fu, Smith School of Business
3:00 PM
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Creating Counting Process Intervals with Ease
Cynthia Crowson, Mayo Clinic; Terry M Therneau, Mayo Clinic; Elizabeth J Atkinson, Mayo Clinic
3:05 PM
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Multi-Scale Vecchia Approximation of Gaussian Processes
Jingjie Zhang, Texas A&M University; Matthias Katzfuss, Texas A&M University
3:10 PM
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Enabling Phenotypic Big Data with PheNorm
Sheng Yu, Tsinghua University; Yumeng Ma, Tsinghua University; Jessica Gronsbell, Harvard T.H. Chan School of Public Health; Tianrun Cai, Brigham and Women's Hospital; Ashwin Ananthakrishnan, Massachusetts General Hospital; Vivian Gainer, Partners HealthCare; Susanne Churchill, Harvard Medical School; Peter Szolovits, Massachusetts Institute of Technology; Shawn Murphy, Partners HealthCare; Isaac Kohane, Harvard Medical School; Katherine Liao, Brigham and Women's Hospital; Tianxi Cai, Harvard T.H. Chan School of Public Health
3:20 PM
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Asymptotic Behavior of the Alpha-Risk Minimizing Portfolio in High-Dimensional Setting
Hiroyuki Taniai, Waseda University
3:20 PM
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Semiparametric Regression Methods for Temporal Processes Subject to Multiple Sources of Censoring
Douglas E. Schaubel, University of Michigan, Ann Arbor; Tianyu Zhan, AbbVie Inc.
3:25 PM
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Statistical Approach for Investigating Change in Mutational Processes During Cancer Growth and Development
Zhi Yang, University of Southern California; Priyatama Pandey, University of Southern California; Darryl Shibata, University of Southern California; Paul Southern Marjoram, University of Southern California; Kimberly Siegmund, University of Southern California
3:30 PM
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Maximum Likelihood Estimation for Stochastic Differential Equations Using Sequential Gaussian-Process-Based Optimization
Peter Craigmile, The Ohio State University; Grant Schneider, Upstart Network; Radu Herbei, The Ohio State University
4:05 PM
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Dancing with the Software: Selecting Your Imputation Partner
Andrew Dau, USDA/NASS; Darcy Miller, National Agricultural Statistics Service
4:05 PM
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Data Adaptive Evaluation of Preprocessing Methods Using Ensemble Machine Learning
Rachael Phillips, Biostatistics, UC Berkeley
4:05 PM
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A Computationally Tractable Estimation Procedure for Self-Exciting Spatio-Temporal Point Process Models
James Molyneux, UCLA Statistics; Frederic Paik Schoenberg, UCLA
4:05 PM
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Modeling of Sediment Mixing Using Dirichlet Process Mixtures
John Tipton, University Of Arkansas; Glenn Sharman, University Of Arkansas; Sam Johnstone, United States Geological Survey
4:20 PM
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Velocities for Point Patterns
Erin Schliep, University of Missouri; Alan E Gelfand, Duke University
4:20 PM
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Bootstrap Procedures for Detecting Multiple Persistence Shifts in a Heteroskedastic Time Series
Mohitosh Kejriwal, Purdue University; Xuewen Yu, Purdue University
4:20 PM
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Asymptotics of Generalized Depth-Based Scale Processes and Applications
Jin Wang, Northern Arizona University
4:20 PM
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A Glimpse into Industry Experience with RWE to Transform Pharmaceutical Research and Development
James Harnett
4:25 PM
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Q-Learning for Dynamic Treatment Regimes on CODIACS Vanguard Randomized Controlled Trial
Eun Jeong Oh, Columbia; Min Qian, Columbia University; Ying Kuen Ken Cheung, Columbia University
4:35 PM
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Inferring Spatial Point Intensity of Geomagnetic Anomalies from Transect Sampling
Kenneth Flagg, Montana State University; Andrew Hoegh, Montana State University; Megan Higgs, Montana State University; John Borkowski, Montana State University
4:35 PM
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Dynamic Shrinkage Processes
Daniel R Kowal, Rice University; David Matteson, Cornell University; David Ruppert, Cornell University
4:45 PM
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A Procedure to Detect General Association Based on Concentration of Ranks
Fred Wright, North Carolina State University; Pratyaydipta Rudra, University of Colorado at Denver; Yi-Hui Zhou, North Carolina State University
4:45 PM
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Statistical Modeling of Disease in Ecological Communities Using Partial Differential Equations
Trevor Hefley, Kansas State University; Haoyu Zhang, Kansas State University; Robin Russell, United States Geological Survey; Anne Ballmann, United States Geological Survey
4:45 PM
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Extensions on Non-Parametric Hawkes Models for Applications in Crime and Disease Spread
Junhyung Park, UCLA; Frederic Paik Schoenberg, UCLA
4:50 PM
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Spatial Statistics Approach to Develop Novel Protein Cancer Biomarkers
Inna Chervoneva, Thomas Jefferson University
4:50 PM
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Closure Properties of Classes of Multiple Testing Procedures
Georg Hahn
4:50 PM
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Side Effect Reduction of Prior and Processed Information on Survey Design
Abdellatif Demnati, Independent Researcher
5:05 PM
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Bayesian Spatial Modeling via Kernel Convolutions on Complex-Valued fMRI Signals
Cheng-Han Yu, UC Santa Cruz; Raquel Prado, University of California Santa Cruz, Baskin School of Engineering
5:05 PM
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A Bayesian Nonparametric Model for Predicting Disease Status Using Longitudinal Profiles
Jeremy Gaskins, University of Louisville
5:05 PM
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MCP-Mod Based Quantitative Techniques for Decision Making Process in Phase II Dose-Finding Clinical Trials
Na Cai, Astellas; Annie Wang, Astellas Pharma; Michael Smith, Astellas
5:20 PM
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Generalized Linear Models with Multiple Longitudinal Covariate Processes
Erning Li, University of Iowa
5:35 PM
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Monday, 07/30/2018
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Control of Two-Dimensional False Discovery Rate by Combining Two Univariate Multiple Testing Results with Application to Mass Spectral Data
Jaesik Jeong; Johan Lim, Seoul National University; Yongrae Kim, Seoul National University; Jong Soo Lee, University of Massachusetts
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Management of Oil/Gas Pipelines Using Statistical Process Control
William Harper, Otterbein University; David J Stucki, Otterbein University; Tony Alfano, DNV GL; Thomas Yahner, DNV GL; Jeffrey Kobs, Rose Rock Midstream; Jim Ponder, Loop LLC (Louisiana Offshore Oil Port)
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The Panic Contagion Probability During an Evacuation Process
Guillermo Frank, Universidad Tecnológica Nacional; Fernando Cornes, Departamento de Física - FCEN - UBA; Claudio Dorso, Instituto de Física de Buenos Aires
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A Normalizing Function Emulation Approach for Doubly Intractable Distributions
Jaewoo Park, Pennsylvania State University; Murali Haran, Penn State University
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Reliability Analysis of Lab Instruments Based on Statistical Quality Control Data
Min Chen, ExxonMobil Biomedical Sciences, Inc.; Eric Shu Shi, ExxonMobil Biomedical Sciences, Inc.; Chonghaw Kwang, ExxonMobil Asia Pacific Pte. Ltd
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Uncertainty Quantification for Fission Product Yield Curves
Jason Bernstein, Lawrence Livermore National Laboratory; Nicolas Schunck, Lawrence Livermore National Laboratory
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Quantile Periodogram Under Long-Memory Process
Yaeji Lim
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A Pair Correlation Function for Non-Stationary Spatial Point Processes Which Depends on Covariates
Zhiji Tang, Florida State University
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Using the SAS Hash Object for Sample Allocation Procedures with Large Data Sets/Big Data
Julia Batishev, National Opinion Research Center (NORC); Michael Yang, NORC
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Classroom Demonstration: Deep Learning for Classification and Prediction, Introduction to GPU Computing
Eric Suess, CSU East Bay
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Forecasting Artificial Earth Satellite Populations
James P. Howard, II, Johns Hopkins University Applied Physics Laboratory
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Statistical Methods for Evaluating the Correlation Between Timeline Follow-Back Data and Daily Process Data: Results from a Randomized Controlled Trial
Wanjun Liu, Penn State University
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A Noval Method to Estimate Human Judgment on Words Similarities
Guan I Wu, UCLA; Ker-Chau Li, Institute of Statistical Science, Academia Sinica
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A Likelihood Ratio Test for the Lorenz Order
Philip E. Cheng, Academia Sinica; Chen-Da Chang, Academia Sinica; Arthur C. Tsai, Academia Sinica; Michelle Liou, Academia Sinica
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Bayesian Forecasting and Dynamic Modeling of Physical Processes in Industrial Hygiene
Nada Abdalla, UCLA; Sudipto Banerjee, UCLA School of Public Health; Gurumurthy Ramachandran, John Hopkins University; Susan Arnold, University of Minnesota
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Approximate Inference for Large Non-Gaussian Spatial Data
Daniel Zilber, Texas A&M University; Matthias Katzfuss, Texas A&M University
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Spline Smoothing in Dendrochronology
Nicholas Bussberg, Indiana University; Justin Maxwell, Indiana University; Scott Robeson, Indiana University; Chunfeng Huang, Indiana University
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Geometric Sensitivity Measures for Nonparametric Bayesian Models in Density Estimation
Abhijoy Saha, The Ohio State University; Sebastian Kurtek, The Ohio State University; Karthik Bharath, The University of Nottingham
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Covariate-Adjusted Recurrent Processes on Network and an Application to Geyser Eruption Prediction
Zhongnan Jin, Virginia Tech; Yili Hong, Virginia Tech
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Gaussian Process Propensity Scores for Multiple Treatment Regimes
Brian Vegetabile, UC Irvine; Daniel L. Gillen, University of California, Irvine; Hal Stern, University of California, Irvine
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Simultaneous Bayesian Model Search and Change-Points Detection for Non-Stationary Oscillatory Processes
Beniamino Hadj-Amar, The University of Warwick; Barbel Finkenstadt, The University of Warwick
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Detecting Planets: Jointly Modeling Radial Velocity and Stellar Activity Time Series
David Edward Jones, Duke University and SAMSI; David Stenning, Imperial College London; Eric Ford, Penn State University; Robert Wolpert, Duke University; Thomas Loredo, Cornell University; Xavier Dumusque, Observatoire Astronomique de l'Universite de Geneve
8:35 AM
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Battle Royale: Machine Learning vs. Mechanistically Motivated Spatio-Temporal Models for Atmospheric and Oceanic Processes
Christopher K. Wikle, University of Missouri
8:35 AM
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Some Model-Building Tools for Gaussian Processes, Using an Approximate Form of the Restricted Likelihood
Maitreyee Bose, University of Washington; James S. Hodges, University of Minnesota; Sudipto Banerjee, UCLA School of Public Health
8:35 AM
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Pleiotropic Effects of Genetic Variants on Aging Traits and Lifespan: Applications of Stochastic Process Models
Konstantin Arbeev, Duke University; Olivia Bagley, Duke University; Fang Fang , Duke University; Hongzhe Duan, Duke University; Ilya Zhbannikov, Duke University; Igor Akushevich, Duke University; Alexander Kulminski, Duke University; Svetlana Ukraintseva, Duke University; Anatoliy Yashin, Duke University
8:35 AM
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Statistical Inference on Remaining Useful Life in a Two-Phase Degradation Model Under Gamma Process
Hon Keung Tony Ng, Southern Methodist University; Man Ho Ling, The Education University of Hong Kong; Kwok Leung Tsui, City University of Hong Kong
8:35 AM
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Robust Pulsar Timing Inference with Non-Gaussian Distributions
Hyungsuk Tak, SAMSI; Justin A. Ellis, West Virginia University; Sujit Ghosh, North Carolina State Univ.
8:55 AM
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Statistical Inference of Two Classifiers by Partial Area Under the ROC Curve with Empirical Likelihood
Xue Ding, University of Kentucky; Mai Zhou, University of Kentucky
9:05 AM
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Approximate Inference for Large Non-Gaussian Spatial Data
Daniel Zilber, Texas A&M University; Matthias Katzfuss, Texas A&M University
9:10 AM
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New Methods for Threshold Variable Identification and Estimation in Threshold Dynamic Factor Models
Xialu Liu, San Diego State University; Rong Chen, Rutgers University
9:15 AM
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Modeling Sporadic Event Dynamics with Markov-Modulated Hawkes Processes
Jing Wu, Columbia University; Tian Zheng, Columbia University
9:20 AM
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Hierarchical Processing for LC/MS Metabolomics Data Generated in Multiple Batches
Douglas Walker, Emory University; Karan Uppal, Emory University; Dean Jones, Emory University; Tianwei Yu, Emory University
10:35 AM
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Fully Bayesian Spectral Methods for Imaging Data
Brian Reich, North Carolina State University; Joseph Guinness, NC State University; Simon Vandekar, University of Pennsylvania; Russell T Shinohara, University of Pennsylvania; Ana-Maria Staicu, NC State University
10:35 AM
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Relevance, Validity, and Bias in the Integration of Health Data
Jerald Lawless, University of Waterloo
10:35 AM
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Model Selection, Contingency Tables and Human Mobility
Adrian Dobra, University of Washington
10:35 AM
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A Weighted Dirichlet Process Mixture Modeling for Functional Clustering
Wenyu Gao, Virginia Tech; Inyoung Kim, Virginia Tech
10:35 AM
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Bayesian Emulation and Calibration of an Individual-Based Model Simulation of Microbial Communities
Oluwole Oyebamiji, Newcastle University; Darren James Wilkinson, Newcastle University
10:35 AM
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Geometric Sensitivity Measures for Nonparametric Bayesian Models in Density Estimation
Abhijoy Saha, The Ohio State University; Sebastian Kurtek, The Ohio State University; Karthik Bharath, The University of Nottingham
10:40 AM
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Posterior Convergence and Coverage Aspects of Gaussian Process Approximations
Biraj Subhra Guha, Texas A & M University; Debdeep Pati, Texas A&M University
10:50 AM
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Likelihood Estimation of Large Species Trees from Multiple Samples Per Species, Using the Coalescent Process
Arindam RoyChoudhury, Cornell University
10:55 AM
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Spline Smoothing in Dendrochronology
Nicholas Bussberg, Indiana University; Justin Maxwell, Indiana University; Scott Robeson, Indiana University; Chunfeng Huang, Indiana University
11:00 AM
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BRISC: Bootstrap for Rapid Inference on Spatial Covariances
Arkajyoti Saha, Johns Hopkins Bloomberg School of Public Health; Abhi Datta, Johns Hopkins Bloomberg School of Public Health
11:05 AM
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Matrix Decomposition for Modeling Multiple Sclerosis Lesion Development Processes
Menghan Hu, Brown University; Ani Eloyan, Brown University; Russell T. Shinohara, University of Pennsylvania Perelman School of Medicine; Ciprian Crainiceanu, Johns Hopkins University
11:05 AM
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Semiparametric Bayes Model for Multidimensional Instrumental Variables
Ryo Kato, Keio University; Takahiro Hoshino, Keio University
11:05 AM
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WPSVM for Spatial Point Processes Directed by Gaussian Random Fields
Subha Datta, New Jersey Institute of Technology
11:05 AM
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Bayesian Approach for Benefit-Risk Assessment with Examples
Ram Tiwari, Center for Devices and Radiologica Health, FDA
11:15 AM
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A Latent Variable Approach for Handling Qualitative Factors in Gaussian Process Modeling of Computer Experiments
Daniel W Apley, Northwestern University; Yichi Zhang, Northwestern University
11:15 AM
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Covariate-Adjusted Recurrent Processes on Network and an Application to Geyser Eruption Prediction
Zhongnan Jin, Virginia Tech; Yili Hong, Virginia Tech
11:40 AM
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Bayesian Forecasting and Dynamic Modeling of Physical Processes in Industrial Hygiene
Nada Abdalla, UCLA; Sudipto Banerjee, UCLA School of Public Health; Gurumurthy Ramachandran, John Hopkins University; Susan Arnold, University of Minnesota
11:45 AM
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Gaussian Process Propensity Scores for Multiple Treatment Regimes
Brian Vegetabile, UC Irvine; Daniel L. Gillen, University of California, Irvine; Hal Stern, University of California, Irvine
11:50 AM
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Correlation Tensor Decomposition and Its Application in Spatial Imaging Data
Yujia Deng, UIUC; Xiwei Tang, University of Virginia; Annie Qu, University of Illinois at Urbana-Champaign
12:05 PM
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Universal Convergence of Kriging
C. F. Jeff Wu, Georgia Institute of Technology; Rui Tuo, Chinese Academy of Sciences; Wenjia Wang, Georgia Institute of Technology
2:05 PM
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Complexity in Simple Regression Models with Binary Disease Outcome
Mei-Cheng Wang, Johns Hopkins University
2:05 PM
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Bias Correction of Arctic Sea Ice Contours
Hannah Director, University of Washington; Adrian Raftery, University of Washington; Cecilia Bitz, University of Washington
2:05 PM
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Spatial Modeling of Rainfall Accumulated Over Short Periods of Time
Victor De Oliveira, The University of Texas at San Antonio; Binbin Wang, The University of Texas at San Antonio; Eric V. Slud, University of Maryland--College Park
2:20 PM
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Determinantal Point Process Mixtures via Spectral Density Approach
Fernando Quintana, Pontificia Universidad Catolica De Chile; Alessandra Guglielmi, Politecnico de Milano; Ilaria Bianchini, Politecnico de Milano
2:25 PM
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Screening for Important Factors in Computer Experiments
David Steinberg, Tel Aviv University; Natalie Abel, Tel Aviv University
2:30 PM
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Attraction Indian Buffet Distribution
David Dahl, Brigham Young University; Richard Warr, Brigham Young University
2:45 PM
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Multi-Stage Processes Monitoring and Diagnostics Using Timeslides
Emmanuel Yashchin, IBM Research
2:45 PM
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Dynamic Variable Selection with Spike-And-Slab Process Priors
Kenichiro McAlinn, University of Chicago; Veronika Rockova, University of Chicago
2:45 PM
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Dynamic Shrinkage Processes
David Matteson, Cornell University; Daniel R Kowal, Rice University; David Ruppert, Cornell University
2:55 PM
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Design of Experiments for the Calibration of Computational Models
David Woods, University of Southampton; Yiolanda Englezou, University of Southampton; Timothy Waite, University of Manchester
2:55 PM
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Independence Conditions and Intermittent Observation in Life History Studies
Richard John Cook, University of Waterloo; Jerald Lawless, University of Waterloo
2:55 PM
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Bayesian Latent Hierarchical Model for Transcriptomic Meta-Analysis to Detect Biomarkers with Clustered Meta-Patterns of Differential Expression Signals
Zhiguang Huo, University of Florida; Chi Song, Ohio State University; George Tseng, University of Pittsburgh
3:05 PM
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Bayesian Nonparametric Differential Analysis with Application to Colorectal Cancer DNA Methylation
Chiyu Gu, University of Missouri; Subharup Guha, University of Florida; Veera Baladandayuthapani, UT MD Anderson Cancer Center; Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center
3:05 PM
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A Parametric Multiple Comparison Procedure for Clinical Trials with Planned Evaluation of Treatment Effect in Pre-Defined Subgroups and Interim Analyzes
Liang Fang, MyoKardia; Ron Yu, Gilead Sciences, Inc.; Zhishen Ye, Gilead Sciences; Neby Bekele, Gilead Sciences; Ming Lin, Gilead Sciences
3:05 PM
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Bayesian Model-Assisted Estimation for Functional Data in Survey Sampling
Luis Fernando Campos, Harvard University
3:25 PM
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Some Sampling and Aggregation Strategies for Statistical Process Monitoring
William H Woodall, Virginia Tech; Inez Zwetsloot, City University of Hong Kong
3:25 PM
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The Spatial Wishart Process and Its Applications to Diffusion Tensor Images
Zhou Lan, North Carolina State University; Brian Reich, North Carolina State University; Joseph Guinness, NC State University; Dipankar Bandyopadhyay, Virginia Commonwealth University
3:35 PM
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Tuesday, 07/31/2018
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A Bayesian Quality Control Technique for the Joint Monitoring of the Parameters of the Shifted Exponential Distribution
Austin Brown, University of Northern Colorado; Bryce Whitehead, University of Northern Colorado; Hend Aljobaily, University of Northern Colorado
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Analysis of a Process Control Model Subject to Errors in Classification
William Griffith, University of Kentucky; Michelle L. Smith, Eastern Kentucky University
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Bayesian Hierarchical Models for Voxel-Wise Classification of Prostate Cancer Using Nearest-Neighbor Gaussian Process
Jin Jin, Division of Biostatistics, University of Minnesota; Joseph Koopmeiners, Division of Biostatistics, University of Minnesota; Gregory Metzger, University of Minnesota; Ethan Leng, University of Minnesota
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Statistical Methods to Estimate Diagnostic Testing Accuracy of ULTE4 to Determine Aspirin Intolerance in Asthma Using Meta-Analysis Data
Nan Zhang, Mayo Clinic; John Hagan, Mayo Clinic; Matthew Rank, Mayo Clinic; Yu-Hui Chang, Mayo Clinic; Rohit Divekar, Mayo Clinic; Erin O'Brien, Mayo Clinic; Gerald Volcheck, Mayo Clinic; Devyani Lal, Mayo Clinic; Patricia Erwin, Mayo Clinic; Harry Teaford, Mayo Clinic; Hirohito Kita, Mayo Clinic; Tanya Laidlaw, Harvard Medical school; Christina Hagan, Baylor College of Medicine
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Determination of Optimal Cut-Off Points for Biomarkers in Oncology Research
Shu-Pang Huang, Bristol-Myers Squibb Co.; Tian Chen, Bristol-Myers Squibb Co.; Ye Feng, Bristol-Myers Squibb Co.; Ming Zhou, Bristol-Myers Squibb Company; Ramachandran Suresh, Bristol-Myers Squibb Co.
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STEPDOWN TESTING PROCEDURES for DOSE FINDING STUDY with ADAPTIVE DESIGN
Gang Jia, Merck & Co.
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NAICS 2017: a New Process Yields Interesting Results
Sania Khan, US Bureau of Labor Statitics; Emily Thomas, US Bureau of Labor Statistics; Sharon S Stang, US Bureau of Labor Statitsics
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A Two-Stage Method to Analyze Multivariate Cluster Biomarkers in Prediction on a Single Binary Outcome
Xiaoying Yu, University of Texas Medical Branch at Galveston; Wenyaw Chan, University of Texas Health Science Center at Houston; Gracie Vargas, University of Texas Medical Branch at Galveston; Rahul Pal, University of Texas Medical Branch at Galveston
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Improving a Predictive Model of Student Progress in an Online Course by Adding Learned Features from Unstructured Text Data
Huafeng Zhang, The Refugee Center Online
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Multiple Testing Procedure Consideration in Clinical Trials
Rachael Wen, Sanofi
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Distributions of Time to First Spot Fire
Trevor Thomson, Simon Fraser University
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Are Shoppers Representative of the Population? Using Geofenced Grocery and Convenience Stores to Represent the Population
Davia Moyse, ICF; Matt Jans, ICF; Ronaldo Iachan, ICF; Lee Harding, ICF; Scott Worthge, MFour; James Dayton, ICF; Yangyang Deng, ICF; Tracy Visconti, MFour
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Model Calibration with Censored Data
Shan Ba, The Procter & Gamble Company; Fang Cao, Georgia Institute of Technology; William Brenneman, The Procter & Gamble Company; Roshan Joseph Vengazhiyil, Georgia Institute of Technology
8:35 AM
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Issues Regarding Biomarker Combination Within ROC Framework: Strategies, Target Functions, and Large Number of Weak Markers
Lili Tian, SUNY at Buffalo; Li Yan, Roswell Park Cancer Institute; Jingjing Yin, Georgia Southern University; Le Kang, Virginia Commonwealth University
8:35 AM
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Multi-Resolution Approximations of Gaussian Processes for Multivariate Spatial Data
Wenlong Gong, Texas A&M University
8:35 AM
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Nonparametric Multivariate Density Estimation Under Dependence
Jan Beran, University of Konstanz
8:35 AM
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Genetic Association Analysis of Copy Number Variation via a Bayesian Procedure in Whole Genome Sequencing
Yu-Chung Wei, Feng Chia University, TAIWAN
8:50 AM
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Robust Combination of Biomarkers for Classification with Covariate Adjustment
Ying Huang, Fred Hutchinson Cancer Research Center; Soyoung Kim, Medical College of Wisconsin
8:55 AM
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STEPDOWN TESTING PROCEDURES for DOSE FINDING STUDY with ADAPTIVE DESIGN
Gang Jia, Merck & Co.
8:55 AM
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Quantifying Association Between Discrete Event Time Series
Christopher Galbraith, University of California, Irvine; Padhraic Smyth, University of California, Irvine; Hal Stern, University of California, Irvine
8:55 AM
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Bayesian Probabilistic Numerical Methods
Jonathan Cockayne
8:55 AM
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Multi-Resolution Filters for Massive Spatio-Temporal Data
Marcin Jurek, Texas A&M University; Matthias Katzfuss, Texas A&M University
8:55 AM
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Are Shoppers Representative of the Population? Using Geofenced Grocery and Convenience Stores to Represent the Population
Davia Moyse, ICF; Matt Jans, ICF; Ronaldo Iachan, ICF; Lee Harding, ICF; Scott Worthge, MFour; James Dayton, ICF; Yangyang Deng, ICF; Tracy Visconti, MFour
8:55 AM
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Bayesian Inference for Conditional Copulas Using Gaussian Process Single Index Models
Radu V Craiu, University of Toronto; Evgeny Levi, University of Toronto
9:00 AM
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NAICS 2017: a New Process Yields Interesting Results
Sania Khan, US Bureau of Labor Statitics; Emily Thomas, US Bureau of Labor Statistics; Sharon S Stang, US Bureau of Labor Statitsics
9:00 AM
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WITHDRAWN: Combining Biomarkers to Improve Classification Accuracy Under Heterogeneous Transformations
Aiyi Liu, BBB/DIPHR/NICHD; Wei Zhang, BBB/DIPHR/NICHD
9:15 AM
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A Bayesian Nonparametic Approach to Multistate Models
Richard Warr, Brigham Young University
9:15 AM
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Coupling Forest In-Situ and Spaced-Based Lidar Samples to Improve National-Scale Forest Inventory: a Joint Spatial Modeling Framework for Forest and Lidar Variable Prediction Lever
Chad Babcock, University of Washington; Andrew Oliver Finley, Michigan State University; Hans-Erik Andersen, USDA Forest Service; Bruce Douglas Cook, NASA Goddard Space Flight Center; Douglas C Morton, NASA Goddard Space Flight Center
9:15 AM
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Functional Analysis of Spatial Aggregation Regions of Jeffrey Pine Beetle-Attack Within the Lake Tahoe Basin
Ekaterina Smirnova, University of Montana; Omid Khormali, University of Montana; Joel M Egan, Forest Health Protection
9:20 AM
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A Dynamic Individual-Based Model of Ant Interaction Events
Nathan Wikle; Ephraim Hanks, The Pennsylvania State University; David Hughes, Pennsylvania State University
9:50 AM
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Dynamic Fused Gaussian Process for Massive Sea Surface Temperature Data from MODIS and AMSR-E Instruments
Emily L. Kang, University of Cincinnati; Pulong Ma, University of Cincinnati
9:55 AM
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Using Baseline Data in Process Improvement
Stefan Steiner, University of Waterloo; Jock MacKay, University of Waterloo
10:35 AM
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Bayesian Spectral Modeling for Multivariate Spatial Distributions of Elemental Concentrations in Soil
Maria Antonia Terres, The Climate Corporation; Montserrat Fuentes, Virginia Commonwealth University; Dean Hesterberg, North Carolina State University; Matthew Polizzotto, North Carolina State University
10:35 AM
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Constructing Cosmological Emulators from a Mixture of Complete and Partial Simulation Results
Earl Christopher Lawrence, Los Alamos National Laboratory
10:35 AM
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Data-Driven Modeling and Forecast of Noisy Nonlinear Dynamics
Kyongmin Yeo, IBM T.J. Watson Research Center; Youngdeok Hwang, Sungkyunkwan University; Eun Kyung Lee, IBM T.J. Watson Research Center
10:35 AM
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Distributions of Time to First Spot Fire
Trevor Thomson, Simon Fraser University
10:45 AM
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Adjusted Empirical Likelihood Based Inference for ROC Curves
Haiyan Su, Montclair State University
10:50 AM
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Semiparametric Estimation of the Mean and Coefficient of Variation of the Interevent Distribution of a Renewal Process from Cross-Sectional Count Data
John D. Rice, University of Colorado, Denver; Robert L. Strawderman, University of Rochester; Brent A. Johnson, University of Rochester
10:50 AM
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Unexpected Safety Signals in Dose Escalation Process
Chunzhang Wu, Astellas Pharma Global Development, Inc.
10:50 AM
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To Shrink or Not to Shrink: Hotelling's T2 Control Charts Based on Shrunken Covariance Estimates
Allison Jones-Farmer, Miami University; Steve Rigdon, St. Louis University; Debbie Shepherd, Louisiana State-Shreveport
10:55 AM
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Traversing the Space-Time Cube
Noel Cressie, University of Wollongong
11:00 AM
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Improving a Predictive Model of Student Progress in an Online Course by Adding Learned Features from Unstructured Text Data
Huafeng Zhang, The Refugee Center Online
11:05 AM
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A Two-Stage Method to Analyze Multivariate Cluster Biomarkers in Prediction on a Single Binary Outcome
Xiaoying Yu, University of Texas Medical Branch at Galveston; Wenyaw Chan, University of Texas Health Science Center at Houston; Gracie Vargas, University of Texas Medical Branch at Galveston; Rahul Pal, University of Texas Medical Branch at Galveston
11:10 AM
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Guaranteed In-Control Performance for Shewhart Control Charts
Rob Goedhart, University of Amsterdam; Marit Schoonhoven, University of Amsterdam; Ronald J.M.M. Does, University of Amsterdam
11:15 AM
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Eye-Tracking in Practice: Results from a Study on Human Postures
Juergen Symanzik, Utah State University; Eric McKinney, Utah State University; Breanna Studenka, Utah State University
11:20 AM
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Horse for Courses: Empirical Vs Mechanistic Modeling for Spatio-Temporal Point Process Data
Peter John Diggle, Lancaster University
11:25 AM
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Multiple Testing Procedure Consideration in Clinical Trials
Rachael Wen, Sanofi
11:30 AM
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Individualized Treatment Effects with Censored Data via Fully Nonparametric Bayesian Accelerated Failure Time Models
Nicholas Henderson, Johns Hopkins University
11:35 AM
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Tidyfun: a New Framework for Representing and Working with Function-Valued Data
Fabian Scheipl, LMU Munich; Jeff Goldsmith, Columbia University
11:35 AM
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Improved Accuracy Assessment for 3D Genome Reconstructions
Mark Segal, UCSF
11:50 AM
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Assessment of a Review Process for the 2017 Census of Agriculture
Denise Abreu, USDA/NASS
11:50 AM
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Hidden in the Signal
Eunice Kim, Microsoft; Ildoo Kim, Brown University
11:50 AM
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Nonparametric Inference on L\'Evy Measures of L\'Evy-Driven Ornstein-Uhlenbeck Processes
Daisuke Kurisu
12:05 PM
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Maximum Likelihood Estimation of First-Passage Structural Credit Risk Models Correcting for the Survivorship Bias
Mathieu Boudreault, Université du Québec à Montréal; Diego Amaya, Wilfrid Laurier University; Don L. McLeish, University of Waterloo
2:05 PM
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Hierarchical Spatial Model for Creating Global Maps of Plant Trait Distribution
Abhi Datta, Johns Hopkins Bloomberg School of Public Health
2:05 PM
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From Markov Models to Poisson Point Processes: Modeling Player Movement in the NBA
Jacob Mortensen, Simon Fraser University; Luke Bornn, Sacramento Kings and Simon Fraser University
2:05 PM
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Calling All Stakeholders: Developing a Demographic Statistical Redesign Research Agenda
Richard Levy, U.S. Census Bureau; Jimmie B Scott, U.S. Census Bureau
2:05 PM
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A Max-Infinitely Divisible Process for Sub-Asymptotic Modeling of Spatial Extremes
Gregory Bopp, Pennsylvania State University; Benjamin Shaby, Penn State University; Raphaël Huser, KAUST
2:20 PM
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Estimating the Receiver Operating Characteristic Curve from Clustered Data and Case-Control Studies
Yalda Zarnegarnia, University of Miami; Shari Messinger, University of Miami
2:20 PM
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Bayesian Nonparametric Models for Multivariate Processes in Phylodynamics Using Stochastic Differential Equations
James Faulkner, University of Washington; Vladimir N. Minin, University of California, Irvine
2:20 PM
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A Multivariate Mixed-Effects Selection Model Framework for Batch-Processed Proteomics Data with Nonignorable Missingness
Jiebiao Wang, Carnegie Mellon University; Pei Wang, Icahn School of Medicine at Mount Sinai ; Donald Hedeker, University of Chicago; Lin Chen, University of Chicago
2:25 PM
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Bayesian Inference of Spreading Processes on Networks
Antonietta Mira, Università della Svizzera italiana; Ritabrata Dutta, Università della Svizzera italiana; Jukka-Pekka Onnela, Harvard T. H. Chan School of Public Health
2:25 PM
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A Stochastic Generator of Global Monthly Wind Energy with Tukey G-and-H Autoregressive Processes
Marc G Genton, King Abdullah University of Science and Technology; Jaehong Jeong, KAUST; Yuan Yan, KAUST; Stefano Castruccio, University of Notre Dame
2:30 PM
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A Comprehensive/Comparative Review of Cut-Point Selection Methods for Multiple Class Settings
Jia Hua, State University of New York At Buffalo; Lili Tian, SUNY at Buffalo
2:35 PM
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Development of a Processed Cheese Food Safety Model Using a Response Surface Design and Parametric Survival Modeling
Francis Rossi, PepsiCo
2:45 PM
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Neuroconductor: An R Platform for Medical Imaging Analysis"
John Muschelli, Johns Hopkins University
2:45 PM
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Factor Analysis of Multitype Recurrent Events with Applications to Modern Educational Assessment
Yunxiao Chen, Emory University
2:45 PM
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Fully Bayesian Analysis of Hierarchical Count Regression Models
Jarad Niemi, Iowa State University; William Landau, Eli Lilly and Company; Dan Nettleton, Iowa State University
2:50 PM
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Bayesian Inference for Multistate Step-and-Turn Animal Movement in Continuous Time
Alison Parton, University of Sheffield; Paul G Blackwell, University of Sheffield
2:55 PM
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Bayesian Spatial Process Models for High-Dimensional Finite Population Sampling
Sudipto Banerjee, UCLA School of Public Health; Alec Goldstein-Chan, University of California Los Angeles
2:55 PM
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Recreating Plays - Testing Shot Policies in Basketball Using Non-Stationary Markov Decision Processes
Nathan Sandholtz, Simon Fraser University; Luke Bornn, Sacramento Kings and Simon Fraser University
3:05 PM
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Large and Non-Stationary Spatial Fields: Quantifying Uncertainty in the Pattern Scaling of Climate Models
Douglas William Nychka, NCAR
3:20 PM
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New Multiple Hypotheses Testing Procedures Based on Covering Principle
Hong Zhou, Arkansas State University; Huajiang Li, Avanir Pharmaceuticals
3:20 PM
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A General Class of Weighted Semiparametric Models for Recurrent Event Data
Russell Stocker, Indiana University of Pennsylvania; Akim Adekpedjou, Missouri University of Science and Technology
3:20 PM
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Hierarchical Gaussian Processes for Spatially Dependent Model Selection
James Fry, Virginia Tech; Scotland Leman, Virginia Tech
3:35 PM
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Analysis of Influences Related to Interviewer Non-Compliance with Established Procedures for SIPP
Danquan Prunty, U.S. Census Bureau; Alpha Savage, US Census Bureau
3:35 PM
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Wednesday, 08/01/2018
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Quantifying Geographic Regions of Excess Stillbirth Risk in the Presence of Spatio-Temporal Heterogeneity
David Zahrieh, Mayo Clinic Rochester; Jacob J Oleson, The University of Iowa; Paul A Romitti, The University of Iowa
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Improving Object Detection with Image Preprocessing
Timothy J. Park, Purdue University
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Bayesian Nonparametric Estimation of the Spectral Density Function, with Applications to Spectral Analysis of EEG Data
Guillermo Cuauhtemoctzin Granados Garcia, King Abdullah University of Science and Technology; Hernando Ombao, King Abdullah University of Science and Technology; Mark Fiecas, University of Minnesota
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Online Sequential Monitoring of Disease Incidence Rates with an Application to the Florida Influenza-Like Illness Data
Kai Yang, University of Florida; Peihua Qiu, University of Florida
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Spatial Proximity Between Bank Branch Closures and Openings: Where Are the New Underserved Banking Areas Located?
Anna Tranfaglia
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Calibrating a Stochastic Agent Based Model Using Quantile-Based Emulation
Arindam Fadikar, Virginia Tech; David Higdon, Virginia Tech
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Dirichlet Process Clustering for the Prediction of Housing Prices
Matt Slifko, Virginia Tech; Scotland Leman, Virginia Tech; David Bieri, Virginia Tech
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Bayesian Analysis of High-Dimensional Point Pattern Data Sets Using Latent Multivariate Log-Gamma Random Vectors
Heli Gao, Florida State University
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Estimating Time-to-Event Characteristics via Longitudinal Threshold Regression Models - an Application to Cervical Dilation Progression
Caroline Mulatya, Emmes; Alexander C McLain , University of South Carolina; Bo Cai, University of South Carolina; James Hardin, University of South Carolina; Paul S Albert, National Cancer Institute
8:35 AM
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Predicting the Timing of the Final Event by Fitting B Splines to Poisson Intensity Rates
Marcus Sobel, Temple Universisity; Ibrahim Turkoz, Janssen Research and Development, LLC
8:35 AM
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Bayesian Nonparametric Mixed Effects Models in Microbiome Data Analysis
Boyu Ren, Harvard T.H. Chan School of Public Health
8:35 AM
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Hochberg Procedure Under Multivariate Normal Distribution with Some Negative Correlations
Jiangtao Gou, Fox Chase Cancer Center, Temple University Health System
8:35 AM
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Spatial Proximity Between Bank Branch Closures and Openings: Where Are the New Underserved Banking Areas Located?
Anna Tranfaglia
8:50 AM
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Dirichlet Process Clustering for the Prediction of Housing Prices
Matt Slifko, Virginia Tech; Scotland Leman, Virginia Tech; David Bieri, Virginia Tech
8:50 AM
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A Simulation Study of Process Capability Analysis on Processes with Multiple Normal Distributions
Laura Lancaster, SAS Institute Inc.
8:50 AM
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Bayesian Semiparametric Threshold Regression
Jonathan Race; Michael Pennell, Ohio State University
8:55 AM
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Automatically Generating News Release Statements from Structured Data
Brandon Kopp, Bureau of Labor Statistics
8:55 AM
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A General Framework for Vecchia Approximations of Gaussian Processes
Matthias Katzfuss, Texas A&M University; Joseph Guinness, North Carolina State University
9:05 AM
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Estimation of Spatial Deformation for Nonstationary Processes via Variogram Alignment
Ghulam Qadir, King Abdullah University of Science and Technology (KAUST); Ying Sun, KAUST; Sebastian Kurtek, The Ohio State University
9:05 AM
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The CFR Miner: Natural Language Processing of the Code of Federal Regulations Using R Studio and Shiny
Richard Schwinn, U.S. Small Business Administration
9:15 AM
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Calibrating a Stochastic Agent Based Model Using Quantile-Based Emulation
Arindam Fadikar, Virginia Tech; David Higdon, Virginia Tech
9:20 AM
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Exploring Departures from Stationarity Using Locally Stationary Time Series
Shreyan Ganguly, The Ohio State University; Peter Craigmile, The Ohio State University
9:20 AM
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Pseudo-Population Bootstrap Procedures for Multi-Stage Sampling Designs
Sixia Chen, University of Oklahoma; David Haziza, Université de Montréal
9:25 AM
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Joint Hierarchical Models for Sparsely Sampled High-Dimensional LiDAR and Forest Variables
Andrew Oliver Finley, Michigan State University; Hans-Erik Andersen, USDA Forest Service; Sudipto Banerjee, UCLA School of Public Health; Bruce Douglas Cook, NASA Goddard Space Flight Center; Abhi Datta, Johns Hopkins Bloomberg School of Public Health; Douglas C Morton, NASA Goddard Space Flight Center
9:35 AM
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Online Sequential Monitoring of Disease Incidence Rates with an Application to the Florida Influenza-Like Illness Data
Kai Yang, University of Florida; Peihua Qiu, University of Florida
9:35 AM
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A Curtailed Two-Stage Selection and Testing Procedure for Comparative Clinical Trials
Mingyue Wang, Syracuse University; Pinyuen Chen, Syracuse University
9:35 AM
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Genome-Wide Gaussian Process Regression for Survival Time Prediction
Aaron J. Molstad, Fred Hutchinson Cancer Research Center; Wei Sun, Fred Hutchinson Cancer Research Center; Li Hsu, Fred Hutchinson Cancer Research Center, USA
9:50 AM
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Bayesian Analysis of High-Dimensional Point Pattern Data Sets Using Latent Multivariate Log-Gamma Random Vectors
Heli Gao, Florida State University
9:50 AM
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Examining Non-Stationarity in Spatial Processes via an M-RA and Mixture Priors
Veronica J. Berrocal, University of Michigan
10:05 AM
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A Bayesian Spatial-Temporal Model with Latent Multivariate Log-Gamma Random Processes with Application to Earthquake Magnitudes
Guanyu Hu, University of Connecticut; Jonathan R Bradley, Florida State University
10:35 AM
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A Scalable Multi-Resolution Spatio-Temporal Model for Brain Activation and Connectivity in fMRI Data
Stefano Castruccio, University of Notre Dame; Hernando Ombao, King Abdullah University of Science and Technology; Marc G Genton, King Abdullah University of Science and Technology
10:55 AM
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Spatio-Temporal Modeling of Heavy-Tailed Data via Non-Gaussian Latent Processes
Gabriel Huerta, University of New Mexico; Kellin Rumsey, University of New Mexico
11:05 AM
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Using Simulation Processes to Close the Background Gap Among Students
Arturo Valdivia, Indiana University
11:05 AM
|
Setting Up the Organization for Analytics
Michiko I Wolcott, Msight Analytics
11:15 AM
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Inferring Social Structure from Continuous-Time Interaction Data
Bailey Fosdick, Colorado State University; Wesley Lee, University of Washington; Tyler McCormick, University of Washington
11:15 AM
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On Statistical Inference in Factorial Multi-Reader Studies Using Bootstrap
Andriy Bandos, University of Pittsburgh
11:20 AM
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Efficient Construction of Bayes Optimal Designs for Stochastic Process Models
Richard Boys, Newcastle University
2:05 PM
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Inference on Multiple AUCs Based on the Combination of Multiple Biomarkers
Shu-Hui Lin, National Taichung University of Science and Technology
2:20 PM
|
A Simulation-Based Approach to Teaching Probability Using the Symbulate Package
Kevin J Ross, Cal Poly; Dennis L Sun, Cal Poly and Google
2:25 PM
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Functional Variance Change Point Analysis for Big Data with an Application to Liver Procurement
Pang Du, Virginia Tech; Zhenguo Gao, Virginia Tech; Ran Jin, Virginia Tech; John Robertson, Virginia Tech
2:25 PM
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A Fault Prediction Method for Temporal Data
Emanuele Gramuglia, University of Oslo
2:35 PM
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Semiparametric Modeling of Structured Point Processes Using Multi-Level Log-Gaussian Cox Processes
Yongtao Guan; Jingfei Zhang, University of Miami
2:45 PM
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Classification of Walking and Stair Climbing Based on Raw Accelerometry Data
William Fadel, Indiana University; Jacek K Urbanek, Johns Hopkins University; Steven R Albertson, Indiana University ; Xiaochun Li, Indiana University; Andrea K Chomistek, Indiana University; Jaroslaw Harezlak, Indiana University Bloomington
2:45 PM
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The Bootstrap in Extreme Value Theory
Chen Zhou, De Nederlandsche Bank
2:50 PM
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Pre-Masking Procedure for Grouping Variables in Multivariate Data Sets
Anna Oganian, National Center for Health Statistics
3:05 PM
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Optimal Doubling Burn-In Policy Based on Tweedie Processes with Applications to Degradation Data
Chien-Yu Peng, Institute of Statistical Science, Academia Sinica
3:05 PM
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An Additive-Multiplicative Mean Model for Panel Count Data with Dependent Observation and Dropout Processes
Yang Li, UNC-Charlotte; Guanglei Yu, Eli Lilly and Company; Liang Zhu, University of Texas Health Science Center at Houston; Hui Zhao, Central China Normal University; (Tony) Jianguo Sun, University of Missouri; Leslie Robison, St. Jude Children's Research Hospital
3:20 PM
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Advanced Signal Processing Methods in Walking and Body-Posture Detection in Observational Studies
Marcin Straczkiewicz, School of Public Health-Bloomington, Indiana University; Jacek K Urbanek, Johns Hopkins University; Vadim Zipunnikov, Johns Hopkins Bloomberg School of Public Health; Nancy Glynn, University of Pittsburgh Graduate School of Public Health; Tamara Harris, National Institute on Aging; Ciprian Crainiceanu, Johns Hopkins University; Jaroslaw Harezlak, Indiana University Bloomington
3:25 PM
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Jackknife Empirical Likelihood for Time Series Data in Frequency Domain
Kenichiro Tamaki, Waseda University
3:35 PM
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Add Time Dimension to the Prediction: a Multi-Stage, Sequential Prediction Model
Zheng Zhang, Brown University
3:35 PM
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Thursday, 08/02/2018
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Modeling Preferential Site Selection in Networks Used to Monitor Environmental Spatio-Temporal Processes
Jim Zidek, University of British Columbia; Joe Watson, UBC; Gavin Shaddick , University of Exeter
8:35 AM
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Sequential Prediction, Martingale Tail Bounds and Automatic Machine Learning
Karthik Sridharan, Cornell University
8:35 AM
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Predictive Distribution of Anticipative Alpha-Stable Markov Processes
Sebastian Fries, Paris-Saclay University, Faculty of Mathematics & CREST
8:35 AM
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Epsilon-Approximations to the Pitman-Yor Process
Pierpaolo De Blasi, University of Turin
8:35 AM
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Gaussian Process Selections in Semiparametric Regression for Multi-Pathway Analysis
Jiali Lin, Virginia Tech; Inyoung Kim, Virginia Tech
8:50 AM
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A Bayesian Semiparametric Regression Model for Joint Analysis of Microbiome Data
Juhee Lee, UC Santa Cruz; Marilou Sison-Mangus, Unversity of California, Santa Cruz
8:55 AM
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Non-Gaussian Translation Processes in Dynamic Space-Time Modeling
Robert Richardson, Brigham Young University
8:55 AM
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Interviewers' Willingness to Spend Time and Effort on the Survey, a Missing Link Between Interview Speed and Contact Process?
Celine Wuyts
8:55 AM
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Anchored Bayesian Gaussian Mixture Models
Deborah Kunkel, The Ohio State University; Mario Peruggia, The Ohio State University
9:00 AM
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A First-Order Multiresolution Analysis of Point Processes
Youssef Taleb, Imperial College London; Edward A K Cohen, Imperial College London
9:05 AM
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Partition Mixture of 1D Wavelets for Multi-Dimensional Data with Application to Image Analysis
Li Ma, Duke University; Meng Li, Rice University
9:15 AM
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Clustered-Temporal Bayesian Model for Brain Connectivity in Neuroimaging Data
Nairita Ghosal, University of Illinois at Chicago; Sanjib Basu, University of Illinois at Chicago
9:20 AM
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Heterogeneous Reciprocal Graphical Models
Yang Ni, UT Austin; Peter Müller, University of Texas Austin; Yitan Zhu, NorthShore University HealthSystem; Yuan Ji, NorthShore Univ. HealthSystem / The University of Chicago
9:25 AM
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A Unified Framework for Weighted Parametric Multiple Test Procedures
Dong Xi, Novartis Pharmaceuticals; Ekkehard Glimm, Novartis; Willi Maurer, Novartis; Frank Bretz, Novartis Pharma AG
9:35 AM
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On Some Applications of Sums of Exchangeable Random Variables
Ramses Mena, Universidad Nacional Autonoma De Mexico
9:35 AM
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Wavelet Coherence for Multivariate Point Processes
Edward A K Cohen, Imperial College London; Alex J Gibberd, Imperial College London
9:35 AM
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Predicting the Long-Term Exposure in Acute Treatment of Migraine Using a Nonhomogeneous Poisson Process with Random Effects
Kaifeng Lu
9:35 AM
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Bayesian Uncertainty Quantification for CO2 Retrieval from Satellite Remote Sensing Data
Anirban Mondal, Case Western Reserve University; Jonathan Hobbs, Jet Propulsion Laboratory
9:35 AM
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Spatial Modeling of Diffusion Tensor Imaging Data from a Cocaine Addiction Study
Dipankar Bandyopadhyay, Virginia Commonwealth University; Zhou Lan, North Carolina State University; Brian Reich, North Carolina State University; Joseph Guinness, NC State University
9:55 AM
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Real Data Applications of Learning Curves in Cardiac Devices and Procedures
Usha Govindarajulu, SUNY Downstate School of Public Health; David Goldfarb, Montfiore Medical Center; Frederic Resnic, Lahey Clinic
10:35 AM
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SOME EWMA SCHEMES for SIMULTANEOUS MONITORING of UNKNOWN MEAN and VARIANCE of a NORMALLY DISTRIBUTED PROCESS
Ridwan Sanusi, City Univ of Hong Kong; AMITAVA MUKHERJEE, INDIAN INSTITUTE OF MANAGEMENT ; Min Xie, City University of Hong Kong
10:35 AM
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Branching Processes in Generalized Autoregressive Conditional Environments with Applications to Virus Outbreaks
Irene Hueter, Columbia University
10:35 AM
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Adapr: An R Package for an Accountable Data Analysis Process
Jonathan Gelfond, University of Texas Health San Antonio; Martin Goros, UT Health San Antonio; Brian Hernandez, UT Health San Antonio; Alex Bokov, UT Health San Antonio
10:35 AM
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Utilizing Statistical Methods for Pre-Processing EHR Data for Analysis
Alex Milinovich, Cleveland Clinic
10:55 AM
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Density estimation via hierarchies of nonparametric priors
Igor Pruenster, Bocconi University
10:55 AM
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Shewhart-Type Charts in Some Nonstandard Situations: Phase I and Phase II
Yuhui Yao, University of Alabama; Subhabrata Chakraborti, University of Alabama
11:05 AM
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Detoxing Toxicity Analysis: Creating Analysis-Ready One-Proc Away ADLB
Ilya Krivelevich, Eisai; Ran Xie, Eisai Inc; Simon Lin, Eisai Inc
11:05 AM
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User-Guided Topic Modeling Through Interactive Visualization
Nathan Wycoff, Virginia Tech; Scotland Leman, Virginia Tech; Ian Crandell, Virginia Tech; Peter Hauck, Virginia Tech; Michelle Dowling, Virginia Tech
11:20 AM
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A Modified Two-Stage Approach to the Interpretation of Forensic Evidence
Cami M. Fuglsby, South Dakota State University; Christopher P. Saunders, South Dakota State University; Danica Ommen, Iowa State University; JoAnn Buscaglia, FBI Laboratory, Counterterrorism & Forensic Science Research Unit
11:20 AM
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Sub-Asymptotic Models for Spatial Extremes Using Random Effects
Benjamin Shaby, Penn State University
11:35 AM
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Article Screening for Meta-Analysis
Jason Wang, UCLA; Robert Weiss, UCLA
11:50 AM
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Automation of Multiprocessor Optimization in SAFAL
Babubhai Shah, SAFAL Institute Inc.
12:05 PM
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A Model-Centric Approach to Scientific Progress and Understanding Reproducibility of Scientific Claims
Erkan Buzbas, University of Idaho; Berna Devezer, University of Idaho; Bert Baumgaertner, University of Idaho; Luis Gustavo Nardin, Brandenburg University of Technology Cottbus - Senftenberg
12:05 PM
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