58
Sun, 8/8/2021,
3:30 PM -
5:20 PM
Virtual
Advanced Bayesian Topics (Part 1) — Contributed Speed
Section on Bayesian Statistical Science
Chair(s): Sameer Deshpande, Massachusetts Institute of Technology - CSAIL
3:35 PM
Bayesian Jackknife Empirical Likelihood
Yichen Cheng, Georgia State University; Yichuan Zhao, Georgia State University
3:40 PM
Dynamically Borrowing Historical Information for the Analysis of Large-Scale Assessments
David Kaplan, University of Wisconsin - Madison
3:45 PM
Gaussian Process Priors for Causal Inference Under Positivity Violations
Yaqian Zhu, University of Pennsylvania ; Nandita Mitra, University of Pennsylvania; Jason Roy, Rutgers University
3:50 PM
Unified Reciprocal LASSO Estimation via Least Squares Approximation
Erina Paul, Merck & Co., Inc. ; Himel Mallick, Merck Research Laboratories
3:55 PM
A Robust Bayesian Copas Selection Model for Quantifying and Correcting Publication Bias
Ray Bai, University of South Carolina
4:00 PM
Random Weighting in LASSO Regression
Tun Lee Ng, University of Wisconsin, Madison ; Michael Newton, University of Wisconsin, Madison
4:05 PM
Bayesian Causal Inference in Observational Studies Truncated by Death Using Composite Ordinal Outcomes
Anthony Sisti, Brown University ; Roee Gutman, Brown University
4:10 PM
Non-Negative Spatial Process Factorization
Frederick William Townes, Princeton University ; Barbara Engelhardt, Princeton University
4:15 PM
Reconstruct COVID-19 Epidemic Curves in Hubei Province Cities by Adjusting Mobile Population Between Different Cities
Neda Jalali, University of Florida ; Yang Yang, University of Florida
4:20 PM
A More Flexible Bayesian Nonparametric Approach to Causal Mediation
Woojung Bae, University of Florida ; Michael J. Daniels, University of Florida
4:30 PM
Modeling Random Directions in 2D Simplex Data
Rayleigh Lei, University of Michigan ; Long Nguyen, University of Michigan
4:35 PM
Estimating Number of Species Using Proxy Data on Effort
Simon Wilson, Trinity College Dublin ; Asmaa Al-Ghamdi, Trinity College Dublin
4:40 PM
SPRUCE: Bayesian Multivariate Mixture Models for High-Throughput Spatial Transcriptomics Data Carter Allen
Carter Allen, The Ohio State University ; Dongjun Chung, Ohio State University
4:45 PM
Bayesian Hypothesis Testing on Kendall Rank Correlation Coefficient
Min Wang, The University of Texas at San Antonio ; Keying Ye, The University of Texas at San Antonio; Shen Zhang , The University of Texas at San Antonio
4:50 PM
Bayesian Modeling of Time-Varying Conditional Heteroscedasticity
Sayar Karmakar, University of Florida ; Arkaprava Roy, University of Florida
4:55 PM
Intergroup and Intragroup Correlation for Binary Regression Data
Marc Sobel, Temple University ; Andres Perez, Temple university
5:00 PM
Confidently Comparing Bayesian Estimates with the C-Value
Brian Trippe, Massachusetts Institute of Technology - CSAIL ; Sameer Deshpande, Massachusetts Institute of Technology - CSAIL; Tamara Broderick, MIT
5:05 PM
Modeling Data Using Horseshoe Processes
Elizabeth C Chase, University of Michigan ; Jeremy M.G. Taylor, University of Michigan; Philip Boonstra, University of Michigan
5:10 PM
Efficient Bayesian Model Selection for Coupled Hidden Markov Models with Application to Infectious Diseases
Jake Carson, University of Warwick ; Trevelyan J McKinley, University of Exeter; Peter Neal, University of Nottingham; Simon EF Spencer, University of Warwick