JSM 2017 Online Program

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CC = Baltimore Convention Center, H = Hilton Baltimore
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Keyword Search Criteria: inference returned 271 record(s)

Sunday, 07/30/2017

The Combination of Confirmatory and Contradictory Statistical Evidence at Low Resolution
Ruobin Gong, Harvard University; Xiao-Li Meng, Harvard University

Generalized Fiducial Inference for Nonparametric Function Estimation
Randy C.S. Lai, University of Maine

R Package TDA for Statistical Inference on Topological Data Analysis
Jisu Kim, Carnegie Mellon University

Bayesian Causal Forests
Richard Hahn, University of Chicago; Jared S Murray, Carnegie Mellon University; Carlos Carvalho, University of Texas at Austin
2:05 PM

Subgroup Inference for Multiple Treatments and Multiple Endpoints
Brad Carlin, University of Minnesota; Patrick Schnell, University of Minnesota; Peter Mueller, UT Austin; Qi Tang, AbbVie, Inc.
2:05 PM

Nonparametric Inference for Point Processes
Tailen Hsing, University of Michigan; Jinqi Shen, University of Michigan
2:05 PM

BFF Inferences with Rs: Replications, Relevance and Robustness
Xiao-Li Meng, Harvard University; Keli Liu, Stanford University
2:05 PM

Bayesian Inference in Nonparanormal Graphical Models
Jami Mulgrave; Subhashis Ghoshal, North Carolina State University
2:05 PM

Non-Probability Sampling: The Good, the Bad, and the Oh So Interesting
Jill Dever, RTI International
2:05 PM

Randomziation and Permutation Tests of Network Structure
Mark M. Fredrickson, University of Illinois at Urbana-Champaign
2:05 PM

Semiparametric Benefiting Subgroup Identification via Credible Subgroups
Patrick Schnell, University of Minnesota; Qi Tang, AbbVie, Inc.; Peter Mueller, UT Austin; Brad Carlin, University of Minnesota
2:20 PM

Bayesian Inference of Accelerated Life Tests for Lognormal Life Distribution and Inverse Power Relationship
Ananda Jayawardhana, Pittsburg State University
2:20 PM

Inference for Errors-In-Variables Models in the Presence of Spatial and Temporal Dependence with an Application to a Carbon Dioxide Remote Sensing Campaign
Bohai Zhang, University of Wollongong; Noel Cressie, University of Wollongong; Debra Wunch, University of Toronto
2:25 PM

Testing Curvature in Functional Single Index Models: Inference for Reaction Norms in Ecology
Giles J Hooker, Cornell University; Zi Ye, Cornell University
2:30 PM

Semiparametric Approaches to Bayesian Inference in Binary Instrumental Variable Models
Jared S Murray, Carnegie Mellon University
2:35 PM

Predictive Modeling with Composite of Popular Distributions
Min Deng, Towson University; Mostafa S Aminzadeh, Towson University
2:35 PM

Estimating Parameters in Complex Systems with Functional Outputs - a Wavelet-Based Approximate Bayesian Computation Approach
Ruijin Lu, Virginia Polytechnic Institute and State University; Hongxiao Zhu, Assistant Professor, Virginia Tech; Chen Ming, Department of Mechanical Engineering, Virginia Tech; Anupam K. Gupta, Department of Mechanical Engineering, Virginia Tech; Rolf Muller, Department of Mechanical Engineering, Virginia Tech
2:35 PM

Adaptive MCMC in Bayesian Phylogenetics and Phylodynamics
Guy Baele, KU Leuven; Philippe Lemey, KU Leuven; Andrew Rambaut, University of Edinburgh; Marc A. Suchard, University of California, Los Angeles
2:45 PM

Network Inference Using Multi-Hub Models
Jirui Wang, George Mason Univ; Yunpeng Zhao, George Mason University
2:50 PM

Resolving the Reproducibility Crisis Using Bayesian Inference
Andrew Gelman, Columbia Unversity; Blake McShane, Northwestern University
2:55 PM

Semiparametric Inference for the Means of Heavy-Tailed Distributions
Hedibert Lopes, Insper; Matt Taddy, University of Chicago Booth School of Business; Matt Gardner, eBay
3:05 PM

Bayesian Phylodynamic Inference for Infectious Disease Dynamics Using the Linear Noise Approximation
Mingwei Tang, Department of Statistics, University of Washington; Vladimir Minin, University of Washington
3:05 PM

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

Bayesian Inference in Parallel and Distributed Environments: The Hardware/Software Approach to Scalable Computation
Alexander Terenin, University of California, Santa Cruz; David Draper, University of California, Santa Cruz
3:25 PM

Ultra-high-dimensional Additive Partially Linear Models
Xinyi Li, Iowa State University; Li Wang, Iowa State University; Dan Nettleton, Iowa State University
4:20 PM

Inference Following Aggregate Level Hypothesis Testing in Large Scale Genomic Data
Ruth Heller, Tel-Aviv University; Nilanjan Chatterjee, Johns Hopkins University; Abba Krieger, University of Pennsylvania; Jianxin Shi, National Cancer Institute
4:30 PM

Matching Estimators for Causal Effects of Multiple Treatments
Anthony Scotina, Brown University; Roee Gutman, Brown University
4:35 PM

Valid Stepwise Regression
Kory Johnson, University of Vienna; Dean Foster, Amazon; Robert Stine, University of Pennsylvania
4:35 PM

Empirical Likelihood Estimator of Causal Effect under Subclassification
Junvie Pailden, Southern Illinois University Edwardsville
4:35 PM

Detection of Anomalous Path in a Noisy Network
Shirshendu Chatterjee, City University of New York; Ofer Zeitouni, Weizmann Institute
4:35 PM

A Parametric Bayesian Approach to Estimating Causal Treatment Effect on Medical Costs
Arman Oganisian, University of Pennsylvania; Andrew Spieker, University of Pennsylvania; Jason A Roy, University of Pennsylvania; Nandita Mitra, University of Pennslyvania
4:50 PM

A Causal Inference Approach for Estimating Health Effects at Low Air Pollution Levels
Georgia Papadogeorgou; Francesca Dominici, Harvard University
4:50 PM

Inference on Risk Premia Without a Fully Specified Factor Model
Dacheng Xiu, University of Chicago; Stefano Giglio, University of Chicago
4:55 PM

Selective Inference in Genomics
Chiara Sabatti, Stanford University
4:55 PM

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

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

Making Sense of Sensitivity: Extending Omitted Variable Bias
Carlos Leonardo Kulnig Cinelli, UCLA; Chad Hazlett, UCLA; Michael Tzen, UCLA
5:05 PM

Statistical Inference Problems in Growing Random Graphs
Miklos Z Racz, Microsoft Research
5:20 PM

Wild Residual Bootstrap Inference for Penalized Quantile Regression with Heteroscedastic Errors
Lan Wang, University of Minnesota; Ingrid Van Keilegom, ORSTAT, KU LEUVEN; Adam Maidman, University of Minnesota
5:20 PM

Confidence regions for spatial excursion sets from repeated random field observations, with an application to climate
Max Sommerfeld, Universität Göttingen; Stephen Sain, The Climate Corporation; Armin Schwartzman, University of California, San Diego
5:20 PM

Inference in Gaussian DAGs with Known Partial Ordering
Syed Rahman, University of Florida
5:20 PM

Integrating the Evidence from Evidence Factors in Observational Studies
Bikram Karmakar, University of Pennsylvania; Benjamin French, Radiation Effects Research Foundation; Dylan Small, University of Pennsylvania
5:20 PM

Multi-Resolution Functional ANOVA for Large-Scale, Many-Input Nonlinear Regression, Estimation, and Inference
Chih-Li Sung, Georgia Institute of Technology; Wenjia Wang, Georgia Institute of Technology; Matthew Plumlee, University of Michigan; Benjamin Haaland, Georgia Institute of Technology
5:35 PM

Bayesian Emulators for Composition Distribution of Kepler's Sub-Neptune Planets
Anirban Mondal, Case Western Reserve University; Angie Wolfgang, The Pennsylvania State University
5:35 PM

Monday, 07/31/2017

Spline Density Estimation and Inference with Model-Based Penalties
Jian Shi, University of California, Santa Barbara

Causal Inference Using Bayesian Spatial Downscaling
Alexandra Larsen, North Carolina State University ; Brian Reich, NCSU; Ana Rappold, US EPA

Selecting Classification Types for Time-Dependent Covariates to Improve the Marginal Analysis of Longitudinal Data
I-Chen Chen, University of Kentucky; Philip M. Westgate, University of Kentucky

A Geometric Variational Approach to Bayesian Inference
Abhijoy Saha, Department of Statistics, The Ohio State University; Karthik Bharath, University of Nottingham; Sebastian Kurtek, The Ohio State University

Analysis of the Australian Election Study Using Bayesian Quantile Regression Models
Charles Au, University of Sydney; S. T. Boris Choy, University of Sydney

Quantifying the Causal Effects of Conservative Fourth Down Decision Making in the National Football League
Derrick Yam, Skidmore College; Michael J. Lopez, Skidmore College

Bayesian Estimation and Uncertainty Quantification in Differential Equation Models
Prithwish Bhaumik, Quantifind Inc.

Instrumental Variables Approaches in Hurdle Data
Jacqueline Mauro, Carnegie Mellon University

Bayesian Adjustment for Confounding When Estimating Average Causal Effects for Time-To-Event Outcomes
Li Xu; Arnold Stromberg, Department of Statistics, University of Kentucky; Chi Wang, Cancer Biostatistics, University of Kentucky

Assessing Variable Importance Nonparametrically Using Machine Learning Techniques
Brian Williamson, University of Washington; Marco Carone, University of Washington Department of Biostatistics; Noah Simon, University of Washington; Peter Gilbert, Fred Hutchinson Cancer Research Center

Inference in a Hidden Markov Model with Log-Concave Emission Densities
Nathalie Akakpo, University Pierre and Marie Curie, Paris, France

Detecting Earthquake Epicenter Temporal Patterns via Dirichlet Process
Meredith Ray, University of Memphis; Dale Bowman, University of Memphis; Roy Von Arsdale, University of Memphis; Hongmei Zhang, University of Memphis

Detection of Treatment Effect After Variable Selection Under Model Misspecification
Jingshen Wang, University of Michigan; Xuming He, University of Michigan

Jointly Modeling the Patient and Consumer Centeredness of Health Care Spending
Frank Yoon, IBM Watson Health; Eli Cutler, IBM Watson Health; Brian Hochrein, IBM Watson Health; Gary Pickens, IBM Watson Health; Hal Skinner, IBM Watson Health; Michael A Head, IBM Watson Health

Interventional Effects for Mediation Analysis with Multiple Mediators
Stijn Vansteelandt, Ghent University; Rhian Daniel, London School of Hygiene & Tropical Medicine
8:35 AM

Trip Purpose Inference with Movement Trajectories, Land Use Data, and Social Media Data
Qing He, University at Buffalo, SUNY; Jing Gao, University at Buffalo, SUNY; Yu Cui, University at Buffalo, SUNY; Chuishi Meng, University at Buffalo, SUNY
8:35 AM

Randomization inference with general interference and censoring
Wen Wei Loh, UNC; Michael Hudgens, UNC
8:35 AM

Inference for Large Networks
Peter Bickel, UC Berkeley; purna sarkar, u. of texas; Soumendu Mukherjee, UC Berkeley
8:35 AM

Estimating Average Treatment Effects with a Response-Informed Calibrated Propensity Score
David Cheng, Harvard T.H. Chan School of Public Health; Abhishek Chakrabortty, University of Pennsylvania; Ashwin N. Ananthakrishnan, Massachusetts General Hospital; Tianxi Cai, Harvard University
8:35 AM

Need for New Statistical Methods to Save Lives on Highways
Eric Donnell, The Pennsylvania State University; R. J. Porter, VHB; Larry Cook, University of Utah; Raghavan Srinivasan, University of North Carolina - Highway Safety Research Center; Joseph Kufera, University of Maryland
8:35 AM

Estimating Vaccine Effects in Longitudinal Studies of Interconnected Populations
Forrest W Crawford, Yale School of Public Health
8:55 AM

Parametric Mediational G-Formula Approach to Mediation Analysis with Time-Varying Exposures, Mediators, and Confounders: An Application for Smoking, Weight, and Blood Pressure
Sheng-Hsuan Lin, Columbia Mailman School of Public Health
8:55 AM

Inference for Big Data
Larry Wasserman, Carnegie Mellon
9:00 AM

A Sequential Algorithm for Bayesian Inference of Large-Scale Record Linkage Structure
Brendan McVeigh, Carnegie Mellon University; Jared S Murray, Carnegie Mellon University
9:05 AM

Identification and Semiparametric Estimation of Causal Effects for Contagious Processes
Elizabeth L Ogburn, Johns Hopkins University
9:15 AM

Joint Indirect Standardization When Only Marginal Distributions Are Observed in the Index Population
Yifei Wang, University of California, Davis; Diana Miglioretti, University of California, Davis; Daniel Tancredi, University of California, Davis
9:15 AM

Estimation of Causal Effects in Randomized Trials of Infectious Disease Prevention with General Interference
Nicole Bohme Carnegie, University of Wisconsin-Milwaukee
9:35 AM

Organic Direct and Indirect Effects with Post-Treatment Common Causes of the Mediator and the Outcome
Judith Lok, Harvard T H Chan School of Public Health
9:35 AM

Estimating Causal Effects from a Randomized Clinical Trial When Noncompliance Is Measured with Error
Jeffrey Boatman; David Vock, University of Minnesota; Joseph Koopmeiners, University of Minnesota; Eric Donny, University of Pittsburgh
9:35 AM

Inference of on Time Specific Difference and Ratio of Kaplan-Meier Estimates
Jeong-Gun Park, Brigham & Womens Hospital / Harvard Medical School; Kelly Im, Brigham and Women's Hospital; Francesco Nordio, Brigham and Women's Hospital; Sabina Murphy, Brigham and Women's Hospital; Yared Gurmu, Brigham & Women's Hospital
9:50 AM

Bayesian Estimation and Uncertainty Quantification in Differential Equation Models
Prithwish Bhaumik, Quantifind Inc.
9:55 AM

Detection of Treatment Effect After Variable Selection Under Model Misspecification
Jingshen Wang, University of Michigan; Xuming He, University of Michigan
10:05 AM

Model-Robust Inference for Continuous Threshold Regression Models
Chongzhi Di, Fred Hutchinson Cancer Research Center; Ying Huang, Fred Hutchinson Cancer Research Center; Peter Gilbert, Fred Hutchinson Cancer Research Center; Youyi Fong, Fred Hutchinson Cancer Research Center
10:35 AM

Generalized Meta-Analysis: Towards an Unified Paradigm for Model Building Through Integration of Disparate Data Sources
Nilanjan Chatterjee, Johns Hopkins University; Runlong Tang, Johns Hopkins University; Prosenjit Kundu, Johns Hopkins University
10:35 AM

High-Dimensional Propensity Score via Covariate Balancing
Yang Ning, Cornell University; Sida Peng, Cornell University ; Kosuke Imai, Princeton University
10:35 AM

Selecting Classification Types for Time-Dependent Covariates to Improve the Marginal Analysis of Longitudinal Data
I-Chen Chen, University of Kentucky; Philip M. Westgate, University of Kentucky
10:40 AM

Quantifying the Causal Effects of Conservative Fourth Down Decision Making in the National Football League
Derrick Yam, Skidmore College; Michael J. Lopez, Skidmore College
10:55 AM

West African Ebola, Zika in the Americas and Direct Likelihood-Based Inference for Stochastic Compartmental Models
Marc A. Suchard, University of California, Los Angeles
11:00 AM

Meta-Analysis with Extremely Small Number of Studies
Lu Tian, Stanford University; Minge Xie, Rutgers University; LJ Wei, Harvard University
11:00 AM

Diagnosing the Diagnostic: a Simulation Study of the Omnibus Test for Covariate Balance
Lauren Vollmer, Mathematica Policy Research
11:05 AM

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

Inference in a Hidden Markov Model with Log-Concave Emission Densities
Nathalie Akakpo, University Pierre and Marie Curie, Paris, France
11:35 AM

Instrumental Variables Approaches in Hurdle Data
Jacqueline Mauro, Carnegie Mellon University
11:45 AM

Network Inference from Time Varying Grouped Observations
Yunpeng Zhao, George Mason University
11:50 AM

Analysis of the Australian Election Study Using Bayesian Quantile Regression Models
Charles Au, University of Sydney; S. T. Boris Choy, University of Sydney
12:00 PM

A Fast Scalable Procedure for Finding Change Points in Random Graphs
Mingyuan Gao, University of Florida; George Michailidis, University of Florida
12:05 PM

Massive Meta-Analysis with Experiments as Instruments: Applications to Peer Effects in Networks
Dean Eckles, MIT; Alexander Peysakhovich, Facebook
2:05 PM

PCORI: Advancing Methods for Analyzing Electronic Health Records Data
David H. Hickam, Patient Centered Outcomes Research Institute
2:05 PM

Adjustments to Student Weights to Account for Student Nonresponse in the National Assessment of Educational Progress
John Riddles, Westat; Gonzalo Rivero, Westat; John Burke, Westat; Keith Rust, Westat
2:05 PM

Instrumental Variable Methods for Censored Data
Douglas Lehmann, University of Miami; Yun Li, University of Michigan; Douglas Earl Schaubel, University of Michigan
2:05 PM

Average Causal Effect Estimation Allowing Covariate Measurement Error - Method Review
Zhou Feng; Elande Baro, FDA; Yi Huang, UMBC
2:05 PM

Robust Estimation of Weighted Average Treatment Effects for a Target Population
Yebin Tao, Eli Lilly and Company; Haoda Fu
2:20 PM

Statistical Inference for Model Parameters in Stochastic Gradient Descent
Yichen Zhang, New York University; Xi Chen, NYU; Jason D. Lee, University of Southern California; Tong Thomson Xin, National University of Singapore
2:25 PM

Unbiased Estimation Under Network Interference
Daniel L Sussman, Boston University; Edoardo M. Airoldi, Harvard University
2:30 PM

AdaPT: An Interactive Procedure for Multiple Testing with Side Information
William Fithian, UC Berkeley Statistics; Lihua Lei, UC Berkeley Statistics
2:30 PM

Shedding a Bayesian Light on the Evidence-Based Medicine
J. Jack Lee, UT MD Anderson Cancer Ctr.
2:35 PM

On Mitigating the Analytical Limitations of Paired Experiments
Colin Fogarty, MIT Sloan School of Management
2:35 PM

Design of Experiments for Networks with Interference
Alexander Volfovsky, Duke University
2:55 PM

Assessing NARCCAP Climate Model Effects Using Spatial Confidence Regions
Joshua French, University of Colorado Denver; Seth McGinnis, National Center for Atmospheric Research; Armin Schwartzman, University of California, San Diego
3:05 PM

Redesigning Introduction to Biostatistics
Kari Lock Morgan, Penn State University
3:20 PM

Sufficient Cause Interaction for Ordinal Outcomes
Jaffer Zaidi, Harvard University; Tyler J. VanderWeele, Harvard University
3:20 PM

Stochastic Seasonality, Contemporaneous Inference, and Forecasting in the Presence of More Volatile Weather
William Wei-Choun Yu, UCLA Anderson School of Management; Jerry Nickelsburg, UCLA Anderson School of Management
3:35 PM

Tuesday, 08/01/2017

Estimating the Protective Effect of Longitudinal DrugConcentration in Pre-Exposure Prophylaxis for HIV Prevention
Claire Ruberman, Johns Hopkins University; Jon Steingrimsson, Johns Hopkins University; Michael Rosenblum, Johns Hopkins University; Craig Hendrix, Johns Hopkins School of Medicine

Plausibility Regions on the Parameters of Skew Normal Distributions Based on Inferential Models
Xiaonan Zhu, New Mexico State University; Tonghui Wang, New Mexico State University; Baokun Li, Southwestern University of Finance and Economy, P. R. China

Estimating Causal Effects of Air Quality on Non-Hodgkin's Lymphoma
Keith Zirkle, Virginia Commonwealth University; David C. Wheeler, Virginia Commonwealth University

Meta-Analysis of Conflicting Outcome Measures
Sitaram Vangala, UCLA Health System

Bayesian Nonparametric Inference for Bivariate Mean Residual Life Functions
Taha Monfared, csuf office of graduate studies; Valerie Poynor, California State University, Fullerton

Slingshot: Cell Lineage and Pseudotime Inference for Single-Cell Transcriptomics
Kelly Street, Univ of California - Berkeley; David Risso, Department of Healthcare Policy and Research, Weill Cornell Medicine; Russell B. Fletcher, Department of Molecular and Cell Biology, UC Berkeley; Diya Das, Department of Molecular and Cell Biology, UC Berkeley; John Ngai, Department of Molecular and Cell Biology & Helen Wills Nenuroscience Institute, UC Berkeley; Nir Yosef, Department of Electrical Engineering and Computer Sciences, UC Berkeley; Elizabeth Purdom, Department of Statistics, UC Berkeley; Center for Computational Biology, UC Berkeley; Sandrine Dudoit, Division of Biostatistics, School of Public Health, UC Berkeley; Department of Statistics

Development of a Web-Based Tool for Comparative Effectiveness Research Using Observational Data
Yi Zhang, Medical Technology and Practice Patterns Institute; Mae Thamer, Medical Technology and Practice Patterns Institute; Onkar Kshirsagar, Medical Technology and Practice Patterns Institute

Persistence Terrace for Topological Inference of Point Cloud Data
Chul Moon, University of Georgia; Noah Giansiracusa, Swarthmore College; Nicole Lazar, University of Georgia

Bayesian Inference about the Directional Brain Network Modeled by Damped Harmonic Oscillators for Intracranial EEG Data
Yinge Sun, University of Virginia; Tingting Zhang, University of Virginia; Qiannan Yin, University of Virginia; Brian Scott Caffo, Johns Hopkins; Dana Boatman-Reich, Johns Hopkins University

Hyperparameter Selection for the Latent Dirichlet Allocation Model
Wei Xia, University of Florida; Hani Doss, University of Florida

A Principal Stratification Approach to Evaluate the Causal Effect of A Patient Activation Intervention For Bone Health Outcomes
YIYUE LOU, University of Iowa; Michael P. Jones, University of Iowa; Stephanie W. Edmonds, University of Iowa; Fredric D. Wolinsky , University of Iowa; Peter Cram, University of Iowa

Optimal Tradeoffs in Matched Designs for Observational Studies
Samuel Pimentel, Wharton; Rachel R. Kelz, University of Pennsylvania

Counterfactual-Based Causal Inference for N-Of-1 Time Series
Eric J. Daza, Stanford University School of Medicine, Stanford Prevention Research Center

A Gaussian Process Approach for Estimating Treatment Assignment Mechanisms
Brian Vegetabile, University of California, Irvine; Hal Stern, University of California, Irvine

A Simulation Study to Evaluate Variable Importance Measures in Random and Conditional Inference Forests with Imputation for Data with Missing and Correlated Predictors
Hung-Wen Yeh; Rayus Kuplicki, Laureate Institute for Brain Research; Trang Le, University of Tulsa; Martin P. Paulus, Laureate Institute for Brain Research

On the Hazard Function of Kumaraswamy Distribution and Associated Inference
Rajarshi Dey, University of South Alabama; Nutan Mishra, University of south alabama

On Estimating Regression-Based Causal Effects Using Sufficient Dimension Reduction
Wei Luo, Baruch College; Yeying Zhu, University of Waterloo; Debashis Ghosh, Colorado School of Public Health
8:35 AM

Inference in an Instrumental Variables Model with Heterogeneous Treatment Effects and Many Instruments
Michal Kolesar, Princeton University; Kirill Evdokimov, Princeton University
8:35 AM

Three Methods Approach to Statistical Inference
Benjamin Baumer, Smith College
8:35 AM

Persistence Terrace for Topological Inference of Point Cloud Data
Chul Moon, University of Georgia; Noah Giansiracusa, Swarthmore College; Nicole Lazar, University of Georgia
8:40 AM

Permutation Confidence Region for Regression Slopes and a Diagnostic Tool for the Central Limit Theorem
Qiang Wu, East Carolina University; Paul Vos, East Carolina University
8:50 AM

Robust Estimation in Additive Hazards Models
Oliver Dukes, Ghent University; Stijn Vansteelandt, Ghent University; Torben Martinussen, University of Copenhagen; Eric Tchetgen Tchetgen, Harvard University
8:50 AM

When Should We Use Linear Fixed Effects Regression Models for Causal Inference with Longitudinal Data?
Kosuke Imai, Princeton University; In Song Kim, MIT
9:00 AM

Bayesian models and the parametric G-formula in time-dependent settings: robustness and sensitivity analysis
Arielle K Anglin, Department of Biostatistics, University of Pennsylvania; Jason A Roy, University of Pennsylvania
9:05 AM

Optimal Tradeoffs in Matched Designs for Observational Studies
Samuel Pimentel, Wharton; Rachel R. Kelz, University of Pennsylvania
9:15 AM

Stable Balancing Weights for Marginal Structural Models
María de los Angeles Resa Juárez, Columbia University; José R. Zubizarreta, Columbia University
9:15 AM

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

Bayesian Inference in the Presence of Intractable Normalizing Functions
Jaewoo Park, Penn State University
9:20 AM

Counterfactual-Based Causal Inference for N-Of-1 Time Series
Eric J. Daza, Stanford University School of Medicine, Stanford Prevention Research Center
9:20 AM

Semiparametric Bayes Inference of Gap-Time Distribution with Recurrent Event Data
AKM Fazlur Rahman, University of Alabama at Birmingham; Edsel Aldea Pena, University of South Carolina
9:20 AM

Information Tests on Statistical Submanifolds
Michael Trosset, Indiana University; Carey E Priebe, Johns Hopkins University
9:20 AM

Recovering Causal Effects from an Experimental Benchmark Using Multilevel Matching
Luke Keele, Georgetown University; Samuel Pimentel, Wharton
9:25 AM

Max-Information, Differential Privacy, and Post-Selection Hypothesis Testing
Ryan Rogers, University of Pennsylvania; Aaron Roth, University of Pennsylvania; Adam Smith, Pennsylvania State University; Om Thakkar, Penn State
9:25 AM

Learning heterogeneity in causal inference using sufficient dimension reduction
Wenbo Wu, University of Oregon; Wei Luo, Baruch College; Yeying Zhu, University of Waterloo
9:25 AM

Pearson's Chi-Square Test and Rank Correlation Inferences for Clustered Data
Joanna Shih, National Cancer Institute; Michael Fay, National Institute of Allergy and Infectious Diseases
9:35 AM

Honest inference for marginal treatment effects using penalised bias-reduced double-robust estimation
Vahe Avagyan, Universiteit Gent-Vakgroep Toegepaste W & I; Stijn Vansteelandt, Ghent University
9:35 AM

Adaptive Designs in Phase II Basket Clinical Trials
Kristen Cunanan; Alexia Iasonos, Memorial Sloan Kettering Sloan Cancer Center; Ronglai Shen, Memorial Sloan Kettering Cancer Center; Colin Begg, Memorial Sloan Kettering Cancer Center; Mithat Gonen, Memorial Sloan Kettering Cancer Center
9:35 AM

A Bayesian Approach to Optimal Treatment Allocation
Saptarshi Chatterjee, Northern Illinois University; Sanjib Basu, University of Illinois At Chicago
9:35 AM

The Central Role of Stability in Causal Inference
Peng Ding, University of California, Berkeley
9:50 AM

"Methodological Challenges for Handling Unmeasured Confounders in Causal Inference with Social Science Data
Reagan M Rose, Harvard University; Luke Miratrix, Harvard University; Aaron Kaufman, Harvard University; Jason Anastasopoulos, University of Georgia
9:50 AM

A Gaussian Process Approach for Estimating Treatment Assignment Mechanisms
Brian Vegetabile, University of California, Irvine; Hal Stern, University of California, Irvine
9:55 AM

Optimal Individualized Early Warning for Inpatient Adverse Events
Hossein Soleimani, Johns Hopkins University; Suchi Saria, Johns Hopkins University
10:35 AM

The New ICH Guideline on Estimands: An Academic Perspective
Eric Tchetgen Tchetgen, Harvard University ; Estelle Russek-Cohen, U.S. Food and Drug Administration; Scott Emerson, University of Washington ; Susan Ellenberg, University of Pennsylvania ; T. Shun Sato, University of Kyoto
10:35 AM

A prediction model for understanding statistical replication
Andrew Neath, SIU Edwardsville
10:40 AM

Robust Tests Using a Divergence Measure
Abhijit Mandal, Wayne State University; Ayanendranath Basu, Indian Statistical Institute; Leandro Pardo, Complutense University of Madrid; Nirian Martin, Complutense University of Madrid
10:50 AM

Individualized Fusion Learning (IFusion) with Applications to Personalized Inference
Minge Xie, Rutgers University; Jieli Shen, Rutgers University; Regina Liu, Rutgers University
11:00 AM

Detecting Copy Number Variations via a Bayesian Approach Adapting to Both Whole Genome and Targeted Exome Sequencing
Yu-Chung Wei, Department of Statistics, Feng Chia University; Guan-Hua Huang, Institute of Statistics, National Chiao Tung University
11:05 AM

Is Tennis' Time Violation Policy Unfair? Understanding the Time-To-Serve of Professional Tennis Players Using a Hierarchical Bayesian Model
Stephanie Kovalchik, Tennis Australia; James Albert, Bowling Green State University
11:15 AM

Robust Inference for Group Sequential Trials
Jitendra Ganju; Yunzhi Lin, AbbVie; Kefei Zhou, Theravance
11:20 AM

Hyperparameter Selection for the Latent Dirichlet Allocation Model
Wei Xia, University of Florida; Hani Doss, University of Florida
11:30 AM

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

Cerebrospinal Fluid Biomarker Signature in Alzheimer's Disease Genetic Association Landscape by Functional Linear Models.
Olga Vsevolozhskaya; Ilai Keren, Washington Department of Fish and Wildlife; David Fardo, University of Kentucky; Dmitri Zaykin, NIH/NIEHS
11:35 AM

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

Cluster-Enabled Inference for Subgroup Comparison of Copy Number Profiles Using Bayesian Change-Point Models for Profile Characterization
Miranda Lynch, Los Alamos National Laboratory
12:05 PM

Control of False-Positive Rates in Clusterwise fMRI Inferences
Jiangtao Gou, Hunter College of CUNY; Fengqing Zhang, Drexel University
12:05 PM

Machine Learning Methods to Improve Causal Inference
Elizabeth Stuart, Johns Hopkins University
2:05 PM

Confidence Inference Function in Big Data
Peter XK Song, University of Michigan, ; Ling X.K. Zhou, University of Michigan
2:05 PM

A Neighborhood Hypothesis Test for Functional Data with an Application to Ecological Data
Leif Ellingson, Texas Tech University; Dhanamalee Bandara, Texas Tech University; Souparno Ghosh, Texas Tech University
2:05 PM

A Regularized Bayesian Approach to Direct and Indirect Effects When Both Exposure and Mediator Are High-Dimensional
Yu-Bo Wang, National Institutes of Health; Zhen Chen, NICHD; Germaine M. Louis, NICHD
2:05 PM

Statistical Tools for Missing Data Inference in Home Mortgage Applications
Andrew Porter, Office of the Comptroller of the Currency
2:20 PM

Application of Generalized Fiducial Inference to Biological Sciences
Jan Hannig, University of North Carolina at Chapel Hill
2:30 PM

Nonparametric Inference via Bootstrapping the Debiased Estimator
Yen-Chi Chen, University of Washington
2:35 PM

Multivariate Small Area Estimation of Multidimensional Latent Economic Wellbeing Indicators
Angelo Moretti, University of Manchester; Natalie Shlomo, University of Manchester; Joseph Sakshaug, The University of Manchester
2:35 PM

Bivariate Association in Respondent-Driven Sampling Data
Dongah Kim, University of Massachusetts, Amherst; Krista Gile, University of Massachusetts; Honoria Guarino , National Development and Research Institutes, Inc.; Pedro Mateu Gelabert, National Development and Research Institutes, Inc.
2:35 PM

Identifiability and Inference of Causal Effects with High-Dimensional and Invalid Instruments
Changjing Wu, Peking University; Minghua Deng, Peking University; Wei Lin, Peking University
3:20 PM

A New Look at Evidence Testing and Measures of Error
Robert Riffenburgh, Naval Medical Center
3:20 PM

A Selective Inference-Based Two-Stage Procedure for Clinical Safety Studies
Yalin Zhu, New Jersey Institute of Technology; Wenge Guo, New Jersey Institute of Technology
3:20 PM

Inference from Respondent-Driven Sampling Data: Progress and Challenges
Krista Gile, University of Massachusetts; Miles Ott, Smith College; Isabelle Beaudry, PUC Santiago, Chile
3:20 PM

Two Sample Order Free Trend Inference
Yishi Wang, University of North Carolina Wilmington; Cuixian Chen, University of North Carolina, Wilmington
3:35 PM

What's Happening in Selective Inference I?
Emmanuel J. Candes, Stanford University
4:05 PM

Wednesday, 08/02/2017

Statistical Inference in the Era of Precision Medicine- the Essential Role of Statistics for Unmet Needs in Algorithm Refinement, Diagnostics Application and Drug Development
Ruixiao Lu, Genomic Health

A Class of Nonseparable and Nonstationary Covariance Functions for Multi-Ouput Gaussian Process
Pulong Ma, Department of Mathematical Sciences, University of Cincinnati; Bledar Alex Konomi, Department of Mathematical Sciences, University of Cincinnati; Emily L. Kang, University of Cincinnati

A New Approach on Simultaneous Statistical Inference in the Presence of Heteroscedasticity
Meng Li, The Ohio State University; Steven MacEachern, The Ohio State University

Estimation and Model Selection by Data-Driven Weighted Likelihoods
Sam-Erik Walker, Dept. of Math., Univ. of Oslo; Nils Lid Hjort, University of Oslo

Imputation Classes as a Framework for Inferences From Non-random Samples
Vladislav Beresovsky, National Center for Health Statistics

Estimating Causal Effects from Using Augmented Inverse Probability Weighted Estimators When Noncompliance Is Measured with Error
David Vock, University of Minnesota; Jeffrey Boatman; Joseph Koopmeiners, University of Minnesota

Personalizing Mobile Health Interventions
Susan A Murphy, University of Michigan
8:35 AM

Randomization Inference for Peer Effects
Xinran Li, Harvard University; Peng Ding, University of California, Berkeley; Qian Lin, Harvard University; Dawei Yang, Peking University; Jun Liu, Harvard University
8:35 AM

Highest Posterior Mass Prediction Intervals for Binomial and Poisson Distributions
Kalimuthu Krishnamoorthy, Univ of Louisiana
8:50 AM

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

Should Quality Ratings Be Adjusted for Effects of Patient Socioeconomic Characteristics?
Alan M. Zaslavsky, Harvard University Medical School
9:00 AM

Causal Inference in a Big Data World - The Roadmap
Laura B Balzer, Harvard T.H. Chan School of Public Health
9:05 AM

Approximate Bayesian Inference via Iterated Random Functions
Aritra Guha, University of Michigan; Long Nguyen, University of Michigan
9:05 AM

Estimation in Multisite Randomized Trials with Heterogeneous Treatment Effects
Daniel Schwartz, University of Chicago; Stephen Raudenbush, University of Chicago
9:20 AM

An Integrative Statistical Framework for Multi-Modal Omics Data
George Michailidis, University of Florida
9:25 AM

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

Assessing the Informational Content of Seasonality Tests by Random Forests of Conditional Inference Trees
Daniel Ollech, Deutsche Bundesbank; Karsten Webel, Deutsche Bundesbank
9:35 AM

Imputation Classes as a Framework for Inferences From Non-random Samples
Vladislav Beresovsky, National Center for Health Statistics
9:45 AM

Inference for COM-Poisson Cure Rate Model with Interval Censored Data
Suvra Pal, University of Texas Arlington - Arlington, TX; Narayanaswamy Balakrishnan, McMaster University
9:50 AM

Inferences from Various Study Designs for Companion Diagnostic Device Evaluation
Jeng Mah, Beckman Coulter
9:50 AM

Comparing Methods of Inference on the Basis of Imprecise Posterior Distributions
Reyhaneh Hosseini, University of Ottawa; David R. Bickel, University of Ottawa
9:50 AM

Forward Modeling: It's Essential for Palaeoclimatology
Andrew C Parnell, University College Dublin
10:35 AM

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

Modernizing the Undergraduate Statistics Curriculum
Nicholas J Horton, Amherst College
10:35 AM

What's Happening in Selective Inference II?
Emmanuel J. Candes, Stanford University
10:35 AM

Nonparametric Multiple Comparisons with Effect Size Considerations
Kimihiro Noguchi, Western Washington University; Riley Abel, Western Washington University
10:35 AM

Solution Uncertainty Quantification for Differential Equations
Oksana A Chkrebtii, The Ohio State University; David A Campbell, Simon Fraser University; Ben Calderhead, Imperial College London; Mark A Girolami, University of Warwick
11:00 AM

Bayesian Spatial Tensor Regression for Neuroimages
Hossein Rekabdarkolaee; Montserrat Fuentes, Virginia Commonwealth University
11:05 AM

Simultaneous Confidence Intervals for Post Model Selection Inference
Xin Gao, York University
11:15 AM

Statistical Inference of the Relative Concentration Index Using Grouped Data from Complex Surveys
Mandi Yu, National Cancer Institute; Meng Qiu, University of Maryland; Yan Li, University of Maryland
11:15 AM

Post-Selection Inference for Segmentation Methods in Changepoint Detection
Sangwon Hyun, Carnegie Mellon University; Kevin Lin, Carnegie Mellon University, Statistics Department; Max G'sell, Carnegie Mellon University; Ryan Tibshirani, Carnegie Mellon University
11:20 AM

Adaptive Shrinkage in Polya Tree Type Models
Li Ma, Duke University
11:25 AM

Multiple Contrast Tests and Simultaneous Confidence Intervals in High-Dimensional Repeated Measures Designs
Frank Konietschke, University of Texas at Dallas
11:35 AM

On the Use of Approximate Fiducial Quantities to Construct Confidence Intervals for Measures of Health Disparities
Tengfei Li, Georgetown University; George Luta, Georgetown University
11:35 AM

Bayesian Modeling of Uncertainties in End-Use Electricity Consumption Amounts Inferences
Hiroaki Minato, U. S. Energy Information Administration (EIA)
11:50 AM

An Optimal Covariate-Adaptive Design to Balance Tiers of Covariates
Fan Wang; Feifang Hu, George Washington University
11:50 AM

Deformation Model Transfer via Equivalent Effects of Lurking Variables in Additive Manufacturing
Arman Sabbaghi, Purdue University; Qiang Huang, University of Southern California
2:05 PM

Maximum likelihood inference for a large precision matrix
Yunzhang Zhu, Ohio State University ; Xiaotong T Shen, University of Minnesota; Wei Pan, University of Minnesota
2:05 PM

Bayesian Approaches for Inference on Brain Connectivity Networks
Marina Vannucci, Rice University
2:05 PM

Penalized Spline of Propensity Methods for Treatment Comparisons
Roderick J Little, University of Michigan; Tingting Zhou, University of Michigan; Michael R. Elliott, University of Michigan
2:05 PM

Does the Nuclear Balance Matter?
Jane Pinelis, Johns Hopkins University Applied Physics Lab; James Scouras, Johns Hopkins University Applied Physics Laboratory
2:05 PM

A Bayesian Approach to Visual Inference
Susan VanderPlas; Heike Hofmann, Iowa State University; Eric Hare, Iowa State University
2:05 PM

A girl geek's guide to new research on interactive data visualization for statistics with lots of data
Dianne Cook, Monash University
2:05 PM

Efficient Estimation and Inference in Factor Models with Nonstationary Common And/Or Idiosyncratic Components
Haiqing Zhao, Purdue University; Mohitosh Kejriwal, Purdue University
2:20 PM

Robust Causal Inference with Continuous Instruments Using the Local Instrumental Variable Curve
Edward H Kennedy, Carnegie Mellon University; Dylan Small, University of Pennsylvania
2:25 PM

Nonparametric Methods for Irregularly Sampled Censored Data with Applications to Liver Transplant Allocations
Sujit K Ghosh, North Carolina State University; Bradley Turnbull, Apple Inc
2:45 PM

"Efron's Rules" for Inference after Imputation and Model Selection
Karen Messer, UCSD Biostatistics; Lin Liu, UCSD Biostatistics; Loki Natarajan, UCSD Biostatistics
2:45 PM

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

Addressing Differential Measurement Error in Self-Reported Dietary Data Using an External Validation Study: Application to a Longitudinal Lifestyle Intervention Trial
Juned Siddique, Northwestern University; Raymond Carroll, Texas A&M University; Michael J Daniels, University of Texas at Austin; Trivellore Raghunathan, University of Michigan School of Public Health; Elizabeth Stuart, Johns Hopkins University; Laurence Freedman, Gertner Institute for Epidemiology and Health Policy Research
3:05 PM

Nonparametric Inference on a Monotone Covariate-Adjusted Dose-Response Curve
Ted Westling, University of Washington; Marco Carone, University of Washington Department of Biostatistics; Mark J van der Laan, University of California at Berkeley Division of Biostatistics
3:05 PM

The Impact of Multiple Imputation of Missing Data on the Statistical Inference in Health Disparities Research
Yihe Huang, George Washington University; Yan Ma, The George Washington University
3:20 PM

Predictive Inference for Regression
Maxwell Grazier G'Sell, Carnegie Mellon University
3:25 PM

Thursday, 08/03/2017

What's Happening in Selective Inference III?
Emmanuel J. Candes, Stanford University
8:35 AM

Parameter Inference for a Three-Parameter Generalized Birnbaum- Saunders Distribution
Naijun Sha, University of Texas At El Paso
8:35 AM

Meta-Analysis of Model Specifications Assessing Harmful Algal Blooms as a Risk Factor for Amyotrophic Lateral Sclerosis in Northern New England
Beth Ziniti, Applied Geosolutions; Ernst Linder, Department of Mathematics and Statistics, University of New Hampshire; Nathan Torbick, Applied Geosolutions; Angeline Andrew, Department of Neurology, Dartmouth Medical School; Elijah W. Stommel, Department of Neurology, Dartmouth Medical School
8:50 AM

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

Statistical Inference in Large Ising Graphical Models via Quadratic Programming
Zhao Ren, University of Pittsburg; Cun-Hui Zhang, Rutgers University; Harrison H. Zhou, Yale University; Sai Li, Rutgers University
8:55 AM

Does Hospice Reduce End-Of-Life Medical Costs? Evidence from a Bayesian Analysis
Fan Li, Duke University; Jerry Reiter, Department of Statistical Science, Duke University; David Klemish, Duke University; Don Taylor, Duke University
9:00 AM

Bayesian Computing and Modeling for Nearest-Neighbor Gaussian Process Models
Sudipto Banerjee, UCLA Fielding School of Public Health
9:00 AM

Bounded, Efficient and Triply Robust Estimation of Average Treatment Effects Using Instrumental Variables
Linbo Wang, University of Washington; Eric Tchetgen Tchetgen, Harvard University
9:05 AM

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

Breaking the Myth of Breaking Randomization: a Causal Examination of Arm-Based Meta-Analysis
Russell Steele, McGill University; Mireille Schnitzer, Université de Montréal; Ian Shrier, Lady Davis Institute and McGill University
9:15 AM

Covariate Adjustment Using Propensity Scores for Dependent Censoring Problems in the Accelerated Failure Time Model
Youngjoo Cho; Chen Hu, Johns Hopkins University; Debashis Ghosh, Colorado School of Public Health
9:20 AM

Estimating Heterogeneous Causal Effects: a Bayesian Nonparametric Approach
Xinyi Xu, Ohio State University; Ling Wang, Ohio State University; Bo Lu, The Ohio State University; Steven MacEachern, The Ohio State University
9:25 AM

A Causal Inference Analysis of the Effect of Wildland Fire Smoke on Ambient Air Pollution Levels and Health Burden
Ana Rappold, US EPA; Brian Reich, NCSU; Alexandra Larsen, North Carolina State University
9:25 AM

Statistical Inference Based on Expanded Simple Random Sample Using Population Ranks
Omer Ozturk, Ohio State University
9:35 AM

Adaptive p-values after cross-validation
Lucy Xia; Jonathan Taylor, Stanford University; Jelena Markovic, Stanford University
9:35 AM

Some Inferences on Loglogistic Distribution
Mohammad Ahsanullah, Rider University
9:50 AM

Variable Selection and Estimation in Causal Inference Using a Bayesian Group Lasso Approach
Brandon Koch, University of Minnesota, Division of Biostatistics; Julian Wolfson, University of Minnesota, Division of Biostatistics; David Vock, University of Minnesota
9:50 AM

Exploring New Estimation Techniques for the Monthly Wholesale Trade Survey
Joanna Lineback, U.S. Census Bureau; Martin Klein, U.S. Census Bureau; Schafer Joseph, U.S. Census Bureau
9:55 AM

New Insights About High-Dimensional Statistical Inference
Lingzhou Xue, The Pennsylvania State University; Danning Li, Jilin University
9:55 AM

Practical Bayesian inference based on Nearest Neighbor Gaussian Processes (NNGP) model for massive spatial data
Lu Zhang, UCLA; Abhirup Datta, Johns Hopkins University; Sudipto Banerjee, UCLA Fielding School of Public Health
10:05 AM

Estimation and Inference of Bounded Normal Mean
Yong Seok Park; Jeremy M. G. Taylor, University of Michigan
10:35 AM

Pilot of a Simulation-Based Inference (SBI) Approach in an Online Undergraduate-Level Introductory Statistics Course
Whitney Alicia Zimmerman, The Pennsylvania State University; Mengzhao Gao, The Pennsylvania State University; Glenn Johnson, The Pennsylvania State University; Daniel Adam Spencer, University of California, Santa Cruz; Daisy Philtron, The Pennsylvania State University
10:55 AM

Bayesian Inference for the Directional Brain Network Modeled by High-Dimensional Damped Harmonic Oscillators Using ECoG Data
Tingting Zhang, University of Virginia; Qiannan Yin, University of Virginia; Yinge Sun, University of Virginia; Brian Scott Caffo, Johns Hopkins; Dana Boatman-Reich, Johns Hopkins University
11:00 AM

Bayesian Finite Population Inference for Skewed Survey Data Using Skew-Normal Penalized-Spline Regression
Qixuan Chen, Columbia University; Yutao Liu, Columbia University
11:05 AM

Inference and Analysis on Social Networks from Newswire Content
William Campbell, MIT Lincoln Laboratory; Lin Li, MIT Lincoln Laboratory; Joel Acevedo-Aviles, MIT Lincoln Laboratory
11:05 AM

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

Exact Subsampling MCMC
Mattias Villani, Linkoping University
11:25 AM

Bayesian Modeling for Weighting Adjustment and Inference in Sample Surveys
Yajuan Si, University of Wisconsin-Madison
11:35 AM

A Finite Mixture Model Approach to Regression Under Covariate Misclassification
Jingyu He; P. Richard Hahn, University of Chicago Booth School of Business; Michelle Xia, Northern Illinois University
11:35 AM

Bayesian Inference for Mediation Quantities with Factual and Intervened Posterior Predictive Distributions
Leah Comment, Harvard University School of Public Health; Linda Valeri, Harvard University; Brent Coull, Harvard T.H. Chan School of Public Health
11:35 AM

Graduate Students Teaching Simulation-Based Inference
Laura Ziegler
11:35 AM

INFERENCE for a NONPARAMETRIC MODEL WITHOUT NONPARAMETRIC ESTIMATION
Richard Charnigo, University of Kentucky; Cidambi Srinivasan, University of Kentucky
11:50 AM

Pedagogical Considerations for Simulation-Based Inference in a Large-Enrollment Introductory Biostatistics Course
Matthew Beckman, Penn State University; Kari Lock Morgan, Penn State University
11:55 AM

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