169
Tue, 8/10/2021,
10:00 AM -
11:50 AM
Virtual
Advanced Bayesian Topics (Part 2) — Contributed Speed
Section on Bayesian Statistical Science
Chair(s): Veronika Rockova, University of Chicago
10:05 AM
Approximate Bayesian Computation via Classification
Yuexi Wang, University of Chicago ; Veronika Rockova, University of Chicago; Tetsuya Kaji, University of Chicago
10:10 AM
Stochastic Variational Bayes Estimation for Multi-Site Daily Precipitation Data
Reetam Majumder, University of Maryland, Baltimore County ; Nagaraj K Neerchal, University of Maryland, Baltimore County; Amita Mehta, University of Maryland, Baltimore County; Matthias K Gobbert, University of Maryland, Baltimore County
10:15 AM
MISNN: Multiple Imputation via Semiparametric Neural Networks
Zongyu Dai, University of Pennsylvania ; Zhiqi Bu, University of Pennsylvania; Yiliang Zhang, University of Pennsylvania; Qi Long, Department of Biostatistics at UPenn
10:20 AM
Hierarchical Bayesian Bootstrap for Heterogeneous Treatment Effect Estimation
Arman Oganisian, Brown University ; Nandita Mitra, University of Pennsylvania; Jason Roy, Rutgers University
10:25 AM
Bayesian Propensity Score Analysis for Misclassified Multinomial Data
Yuhan Ma, Baylor University ; Joon Jin Song, Baylor University
10:30 AM
Multivariate Gaussian RBF-Net for Smooth Function Estimation and Variable Selection
Arkaprava Roy, University of Florida
10:35 AM
Bayesian Joint Modeling of Single-Cell Expression Data and Bulk Spatial Transcriptomic Data
Xiangyu Luo, Renmin University of China ; Jinge Yu, Renmin University of China; Qiuyu Wu, Renmin University of China
10:40 AM
Fast Increased Fidelity Samplers for Approximate Bayesian Gaussian Process Regression
Kelly Moran, Los Alamos National Laboratory ; Matthew Wheeler, National Institute of Environmental Health Sciences
10:45 AM
A New Approach for Differentially Private Metropolis-Hastings Sampling
Bingyue Su, University of Notre Dame, Department of ACMS ; Fang Liu, University of Notre Dame
10:50 AM
Approximate Bayesian Computation with Surrogate Posteriors
Florence Forbes, Inria ; Hien Duy Nguyen, La Trobe University; TrungTin Nguyen, Universite Caen Normandie; Julyan Arbel, Inria
11:00 AM
Bayesian Interaction Selection for Meta-Analysis with Rare and Censored Events
Xinyue Qi, Incyte ; Shouhao Zhou, Penn State College of Medicine; Christine B. Peterson, The University of Texas MD Anderson Cancer Center
11:05 AM
Diagnostics for Monte Carlo Algorithms for Models with Intractable Normalizing Functions
Bokgyeong Kang, The Pennsylvania State University ; John Hughes, The Pennsylvania State University; Murali Haran, Pennsylvania State University
11:10 AM
Multilevel Network Recovery Through Nonparametric Kernel Machine Regression Adapted for Correlated Variable Selection
Mohamed Salem, VirginiaTech ; Inyoung Kim, Virginia Tech
11:15 AM
Bayesian Inference of Physical Parameters at Langjökull
Giri Gopalan, California Polytechnic State University ; Birgir Hrafnkelsson, University of Iceland; Guðfinna Aðalgeirsdóttir, University of Iceland; Finnur Pálsson, University of Iceland
11:20 AM
Independent Finite Approximations for Bayesian Nonparametric Inference
Tin Danh Nguyen, MIT ; Jonathan H Huggins, Boston University; Lorenzo Masoero, MIT; Lester Mackey, Microsoft Research New England; Tamara Broderick, MIT
11:25 AM
Bayesian Model Selection for Spatial Hierarchical Models with Intrinsic Conditional Autoregressive Priors via Fractional Bayes Factors
Erica May Porter, Virginia Tech Department of Statistics ; Christopher Thomas Franck, Virginia Tech Department of Statistics; Marco May Ferreira, Virginia Tech Department of Statistics
11:30 AM
Bayesian Dependent Functional Mixture Estimation for Area and Time-Indexed Data: An Application for the Prediction of Monthly County Employment
Terrance Savitsky, Bureau of Labor Statistics ; Matthew R Williams, National Science Foundation
11:35 AM
Divide-and-Conquer Bayesian Inference in Hidden Markov Models
Chunlei Wang, University of Iowa ; Sanvesh Srivastava, University of Iowa
11:40 AM
Bayesian Analysis of Multivariate Incomplete Ordinal Data Using Multivariate Probit Models
Xiao Zhang, Michigan Technological University
11:45 AM
Warped Gradient-Enhanced Gaussian Process Surrogate Models for Inference with Intractable Likelihoods
Quan Vu, University of Wollongong ; Matthew Moores, University of Wollongong; Andrew Zammit-Mangion, University of Wollongong
