Name: 2021 Joint Statistical Meetings
Start: 2021-08-08T07:00:00+00:00
End: 2021-08-12

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* = applied session ! = JSM meeting theme

Activity Details

6 * !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Highlights in 'Bayesian Analysis': Stories to Tell — Invited Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): Michele Guindani, University of California Irvine
Chair(s): Michele Guindani, University of California Irvine
1:35 PM	Can Multilevel Regression and Poststratification Estimate Conditional Treatment Effects from Complex Experimental Data? Yuxiang Gao, University of Toronto; Daniel Simpson, University of Toronto; Lauren Kennedy, Monash University
2:00 PM	A Bayesian Hierarchical Model of Violent Criminal Threat Presentation Francis Oliver Bunnin, The Alan Turing Institute; Jim Q Smith, University of Warwick; The Alan Turing Institute
2:25 PM	Sequential Bayesian Experimental Design for Implicit Models via Mutual Information Steven Kleinegesse, The University of Edinburgh, School of Informatics; Michael Urs Gutmann, The University of Edinburgh, School of Informatics; Christopher Drovandi, Queensland University of Technology, School of Mathematical Sciences
2:50 PM	Semiparametric Functional Factor Models with Bayesian Rank Selection Daniel Kowal, Rice University
3:15 PM	Floor Discussion

46 * !	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Statistical Challenges and Breakthroughs in Diabetes and Obesity Research in the Big Data Era — Topic-Contributed Papers
Section on Bayesian Statistical Science, Section on Statistics in Genomics and Genetics, Section on Statistics in Epidemiology
Organizer(s): Xiang Liu, University of South Florida
Chair(s): Kristian F. Lynch, University of South Florida
3:35 PM	Longitudinal Plasma Metabolome and Circulating Vitamins Stratified Onset Age of an Initial Islet Autoantibody and Progression to Type 1 Diabetes: The TEDDY Study Qian Li, St. Jude Children’s Research Hospital; Xiang Liu, University of South Florida; Jimin Yang, University of South Florida; Iris Erlund, Finnish Institute for Health and Welfare; Åke Lernmark, Lund University; William Hagopian, Pacific Northwest Research Institute; Marian Rewers, University of Colorado Denver; Jin-Xiong She, Augusta University; Jorma Toppari, University of Turku; Anette-G Ziegler, Technical University of Munich; Beena Akolkar, NIDDK/NIH; Jeffrey Krischer, University of South Florida
3:55 PM	Microbial Metabolites and Microbiome in Vitamin D/Vitamin D Receptor Deficiency Are Associated with Obesity Yinglin Xia, University of Illinois at Chicago; Jun Sun, University of Illinois at Chicago
4:15 PM	Prioritization of Causal Genes and Variants in Type 1 Diabetes Using Chromatin Accessibility and Gene Expression Profiling Catherine C Robertson, University of Virginia; Suna Onengut-Gumuscu, University of Virginia; Patrick Concannon, University of Florida; Wei-Min Chen, University of Virginia; Stephen S Rich, University of Virginia
4:35 PM	Bayesian Semiparametric Joint Models to Study Weight and Islet Autoimmunity in Subjects at High Risk for Type 1 Diabetes Xiang Liu, University of South Florida; Roy Tamura, University of South Florida; Kendra Vehik, University of South Florida; Jeffrey Krischer, University of South Florida
4:55 PM	A Bayesian Framework for Estimating the Risk Ratio of Hospitalization for People with Comorbidity Infected by the SARS-CoV-2 Virus Qunfeng Dong, Loyola University Chicago; Xiang Gao, Loyola University Chicago
5:15 PM	Floor Discussion

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 Presentation 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

66 * !	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Frontiers in Bayesian Nonparametric Methods, from Theory to Application — Invited Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), Section on Nonparametric Statistics
Organizer(s): Li Ma, Duke University
Chair(s): Li Ma, Duke University
10:05 AM	Modeling Sparse, Dynamic Interaction Networks Using Bayesian Nonparametrics Sinead Williamson, University of Texas at Austin, Department of Statistics and Data Sciences
10:25 AM	Extended Stochastic Block Models Daniele Durante, Bocconi University; Sirio Legramanti, Bocconi University; Tommaso Rigon, University of Milano-Bicocca; David Dunson, Duke University
10:45 AM	BN-LTE: Bayesian Network with Latent Trajectory Embedding Yang Ni, Texas A&M University
11:05 AM	A Bayesian Nonparametric Model via Mixtures of Erlang Distributions for Survival Times Juhee Lee, University of California, Santa Cruz
11:25 AM	Coverage of Credible Intervals Under Monotonicity Subhashis Ghoshal, North Carolina State University; Moumita Chakraborty, North Carolina State University
11:45 AM	Floor Discussion

86 * !	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
ID-Less Future of Display Advertising Measurement (CANCELLED) — Topic-Contributed Panel
Section on Statistics in Marketing, Business and Economic Statistics Section, Section on Bayesian Statistical Science

98	Mon, 8/9/2021, 12:00 PM - 1:20 PM	Virtual
Section on Bayesian Statistical Science P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Bayesian Statistical Science
ML08:	How to Build and Sustain Effective Collaborations Presentation Eric Alan Vance, LISA-University of Colorado Boulder

125 * !	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
A New Era of Mark-Recapture: Advances in Bayesian Methods for Modeling and Inference — Topic-Contributed Papers
Section on Bayesian Statistical Science, Section on Statistics and the Environment, Biometrics Section
Organizer(s): James R Faulkner, National Oceanic and Atmospheric Administration
Chair(s): Russell W. Perry, U.S. Geological Survey
1:35 PM	Bayesian State-Space Models for Acoustic Telemetry Data Saman Muthukumarana, University of Manitoba; Inesh Munaweera, University of Manitoba; Darren Gillis, University of Manitoba
1:55 PM	Incorporating Dead Recoveries into a Temporally-Stratified Mark-Recapture Model for Migratory Animals James R Faulkner, National Oceanic and Atmospheric Administration
2:15 PM	Temporally-Stratified Capture-Recapture Models for Migratory Animals Dalton Hance, United States Geological Survey; Russell W. Perry, U.S. Geological Survey; Adam Pope, United States Geological Survey
2:35 PM	Integrating Time-Varying Individual Covariates into Space-for-Time CJS Models Using Hazard Functions Adam Pope, United States Geological Survey; Russell W. Perry, U.S. Geological Survey
2:55 PM	Measuring the Additive Effects of Predation Across Spatial Scales Using Capture-Recapture-Recovery Data Quinn Payton, Real Time Research
3:15 PM	Floor Discussion

141 * !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Bayesian Meets Basketball — Invited Papers
Section on Statistics in Sports, Section on Bayesian Statistical Science, Section on Statistical Learning and Data Science
Organizer(s): Guanyu Hu, University of Missouri - Columbia
Chair(s): Hal Stern, University of California Irvine
10:05 AM	Analysis of Professional Basketball Field Goal Attempts via a Bayesian Matrix Clustering Approach Guanyu Hu, University of Missouri - Columbia; Weining Shen, University of California Irvine ; Fan Ying, Microsoft
10:30 AM	It's Fun Getting into (Foul) Trouble Presentation Dani Chu, Seattle Kraken; Tim Swartz, Simon Fraser University
10:55 AM	Guard Me If You Can: Revealing the Hidden Dynamics of Sports Interactions Using the Intrinsic Dimension Edgar Santos-Fernandez, Queensland University of Technology; Francesco Denti, University of California, Irvine; Kerrie Mengersen, Queensland University of Technology; Antonietta Mira, Università della Svizzera italiana and University of Insubria
11:20 AM	Discussant: Shane Jensen, University of Pennsylvania
11:40 AM	Floor Discussion

151 * !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Recent Advances in Bayesian Approaches to Neuroimaging — Invited Papers
WNAR, Section on Statistics in Imaging, Section on Bayesian Statistical Science
Organizer(s): Aaron Wolfe Scheffler, University of California, San Francisco
Chair(s): Alec Chan-Golston, University of California, Merced
10:05 AM	Quantifying Heterogeneity in Brain Imaging Data donatello telesca, UCLA
10:30 AM	A Bayesian Regression Framework for Brain Imaging Data with Multiple Structural- and Network-Valued Predictors Aaron Wolfe Scheffler, University of California, San Francisco; Giovanni Battistella, Department of Neurology, University of California, San Francisco; Maria Luisa Mandelli, Department of Neurology, University of California, San Francisco; Maria Luisa Gorno-Tempini, Department of Neurology, University of California, San Francisco; Rajarshi Guhaniyogi, University of California, Santa Cruz
10:55 AM	Sketching in Bayesian High Dimensional Regressions with Big Data Rajarshi Guhaniyogi, University of California, Santa Cruz; Aaron Wolfe Scheffler, University of California, San Francisco
11:20 AM	Recent Advances in Bayesian Approaches to Neuroimaging Michele Guindani, University of California Irvine
11:45 AM	Floor Discussion

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 Presentation 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 Presentation 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

175	Tue, 8/10/2021, 12:00 PM - 1:20 PM	Virtual
Withdrawn: Section on Bayesian Statistical Science P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Bayesian Statistical Science

190 !	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
Synergy of Bayesian, Frequentist, and Fiducial Approaches in Addressing Modern Statistical Problems in Data Science — Invited Papers
Section on Bayesian Statistical Science, General Methodology, ENAR
Organizer(s): Radu V Craiu, University of Toronto
Chair(s): Hary Iyer, National Institute of Standards and Technology
1:35 PM	Uncertainty Quantification for Object Boundaries Extracted from Spatial Point Patterns Thomas C. M. Lee, University of California at Davis
2:00 PM	Robust and individualized conformal predictive inference in survival analysis Minge Xie, Rutgers University
2:25 PM	Uncertainty in Estimation of ROC Curves with Applications to Forensic Science Presentation Jan Hannig, University of North Carolina at Chapel Hill; Hary Iyer, National Institute of Standards and Technology
2:50 PM	Discussant: Xiao-Li Meng, Harvard University
3:10 PM	Floor Discussion

204 * !	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
Bayesian Methods for the Analysis of Complex Brain Imaging Data — Topic-Contributed Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), Section on Statistics in Imaging
Organizer(s): Francesco Denti, University of California, Irvine
Chair(s): Zhaoxia Yu, University of California, Irvine
1:35 PM	A Hierarchical Bayesian Approach to Predicting Time-to-Conversion to Alzheimer's Disease Using a Longitudinal Map of Cortical Thickness Mark Fiecas, University of Minnesota; Ning Dai, University of Minnesota; Hakmook Kang, Vanderbilt University; Galin Jones, University of Minnesota
1:55 PM	Efficient Estimation of Brain Activation with Cortical Surface Data Using EM with a Bayesian General Linear Model Presentation Daniel Spencer, Indiana University; Amanda Mejia, Indiana University
2:15 PM	Detecting Brain Activation via Bayesian Mixture of Horseshoe Distributions Francesco Denti, University of California, Irvine; Babak Shahbaba, University of California, Irvine; Michele Guindani, University of California Irvine; Ricardo Azevedo, University of California, Irvine; Sunil P. Gandhi, University of California, Irvine
2:35 PM	Bayesian Non-Homogeneous Hidden Markov Models for Time-Varying Functional Connectivity Jaylen Lee, University of California, Irvine; Michele Guindani, University of California Irvine; Marina Vannucci, Rice; Ryan Warnick, Rice University
2:55 PM	Bayesian Nonparametric Analysis for the Detection of Spikes in Noisy Calcium Imaging Data Laura D'Angelo, University of Padova; Michele Guindani, University of California Irvine; Antonio Canale, University of Padova; Zhaoxia Yu, University of California, Irvine
3:15 PM	Floor Discussion

225 * !	Wed, 8/11/2021, 10:00 AM - 11:50 AM	Virtual
Recent Advances in Bayesian Methods for Complex Data Structures — Invited Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), IMS
Organizer(s): Garritt L Page, Brigham Young University
Chair(s): Garritt L Page, Brigham Young University
10:05 AM	Seemingly Unrelated Multi-State Processes: A Bayesian Nonparametric Approach Maria De Iorio, University of College London and Yale-NUS College
10:35 AM	Optimal Bayesian Estimation of Gaussian Mixtures with Growing Number of Components Lizhen Lin, The University of Notre Dame; Ilsang Ohn, The University of Notre Dame
11:05 AM	Grid-Uniform Copulas and Rectangle Exchanges: Model and Bayesian Inference for a Rich Class of Copula Functions Alejandro Jara, Pontificia Universidad Católica de Chile
11:35 AM	Floor Discussion

232 * !	Wed, 8/11/2021, 10:00 AM - 11:50 AM	Virtual
Near Optimization — Topic-Contributed Papers
Section on Statistical Computing, International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science
Organizer(s): Michael Lavine, UMass Amherst
Chair(s): Hugh Medal, UT-Knoxville
10:05 AM	A Study in Rashomon Curves and Volumes: A New Perspective on Generalization and Model Simplicity Presentation Lesia Semenova, Duke University
10:25 AM	Near-Optimization, Sampling, and Multi-Objective Optimization Justin Solomon, Massachusetts Institute of Technology
10:45 AM	Discussant: James Hodges, University of Minnesota Twin Cities
11:05 AM	Discussant: Roshan V Joseph, Georgia Institute of Technology
11:25 AM	Floor Discussion

252	Wed, 8/11/2021, 12:00 PM - 1:20 PM	Virtual
Section on Bayesian Statistical Science P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Bayesian Statistical Science
WL06:	Bayesian Statistics in the Undergraduate Curriculum Mine Dogucu, University of California Irvine

279	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
SBSS Paper Competition Winners — Topic-Contributed Papers
Section on Bayesian Statistical Science
Organizer(s): Veronika Rockova, University of Chicago
Chair(s): Veronika Rockova, University of Chicago
1:35 PM	Variable Selection via Thompson Sampling Yi Liu, University of Chicago; Veronika Rockova, University of Chicago
1:55 PM	Adaptive Bayesian Changepoint Analysis and Local Outlier Scoring Haoxuan Wu, Cornell University ; David S Matteson, Cornell University
2:15 PM	On Construction and Estimation of Stationary Mixture Transition Distribution Models Xiaotian Zheng, University of California, Santa Cruz; Athanasios Kottas, University of California, Santa Cruz; Bruno Sansó , University of California, Santa Cruz
2:35 PM	Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults Giorgio Paulon, The University of Texas at Austin; Abhra Sarkar, The University of Texas at Austin; Fernando Llanos, The University of Texas at Austin; Bharath Chandrasekaran, University of Pittsburgh
2:55 PM	Hierarchical Dynamic Modeling for Individualized Bayesian Forecasting Anna K. Yanchenko, Duke University; Di Daniel Deng, Duke University; Jinglan Li, 84.51; Andrew J. Cron, 84.51; Mike West, Duke University
3:15 PM	Floor Discussion

281 * !	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
Bayesian Methods for Complex Data Analysis — Topic-Contributed Papers
International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science
Organizer(s): Weining Shen, University of California Irvine
Chair(s): Weining Shen, University of California Irvine
1:35 PM	Bayesian Meets Optimization: Proximal Prior, Flow Networks, and Combinatorial Problems Leo Duan, University of Florida
1:55 PM	Graph Signal Denoising Using T-Shrinkage Priors Sayantan Banerjee, Indian Institute of Management Indore; Weining Shen, University of California Irvine
2:15 PM	Bayesian Fixed-Domain Asymptotics for Covariance Parameters in a Gaussian Process Model Cheng Li, National University of Singapore
2:35 PM	Bayesian Dynamic Feature Partitioning in High-Dimensional Regression with Big Data Rene Gutierrez, UC Santa Cruz; Rajarshi Guhaniyogi, University of California, Santa Cruz
2:55 PM	Identifying Latent Groups in Spatial Panel Data Using a Markov Random Field Constrained Product Partition Model Tianyu Pan, University of California, Irvine; Guanyu Hu, University of Missouri - Columbia; Weining Shen, University of California Irvine
3:15 PM	Floor Discussion

290	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
Advanced Bayesian Topics (Part 3) — Contributed Speed
Section on Bayesian Statistical Science
Chair(s): Yuexi Wang, University of Chicago
1:35 PM	Bayesian Nonparametric Quantile Regression with Multiple Proxy Variables Presentation Dongyoung Go, Yonsei university; Jongho Im, Yonsei university; Ickhoon Jin, Yonsei university
1:40 PM	A Novel Finite Mixture Model to Cluster Dynamic Latent Ability in Item Response Theory Models Jingyu Sun, University of Connecticut, Department of Statistics; Xiaojing Wang, University of Connecticut
1:45 PM	Bayesian Functional Partial Membership Model Nicholas Marco, University of California, Los Angeles; donatello telesca, UCLA
1:50 PM	A Simulation-Based Comparison of Bayesian Computing Platforms in R Evan Miyakawa, Baylor University
1:55 PM	An Empirical Bayes Approach to Estimating Dynamic Models of Co-Regulated Gene Expression Sara Venkatraman, Cornell University, Department of Statistics and Data Science; Sumanta Basu, Cornell University ; Sofie Delbare, Cornell University, Department of Statistics and Data Science; Myung Hee Lee, Weill Cornell Medical College, Department of Medicine; Martin Wells, Cornell University, Department of Statistics and Data Science
2:00 PM	Geographic and Racial Disparities in the Incidence of Low Birthweight in Pennsylvania Guangzi Song, Drexel Univerisity; Harrison Quick, Drexel Univerisity; Loni Tabb, Drexel Univerisity
2:05 PM	Normalized Power Prior Bayesian Analysis Keying Ye, The University of Texas at San Antonio; Zifei Han, University of International Business and Economics; Yuyan Duan, Novartis Inc.; Tianyu Bai, FDA
2:10 PM	Bayesian Analysis of Sparse Multivariate Matched Proportions Mark Meyer, Georgetown University; Tong John Li, Georgetown University; Katherine Hobbs Knutson, Partners Healthcare
2:15 PM	Spatial Meshing for General Bayesian Multivariate Models Michele Peruzzi, Duke University; David Dunson, Duke University
2:20 PM	Exchangeable Bayesian Matrix-Variate Hierarchical Clustering with Parallel Computation Hsin-Hsiung Huang, University of Central Florida
2:30 PM	Bayesian Estimation of Constrained Mean-Covariance of Normal Distribution Anupam Kundu, Texas A&M University; Mohsen Pourahmadi, Texas A&M University
2:35 PM	WITHDRAWN: Causal BART Mixture Model for Estimating Heterogeneous Treatment Effects Omar Chavez, University of Texas at Austin, Department of Statistics and Data Sciences; Sinead Williamson, University of Texas at Austin, Department of Statistics and Data Sciences; Michael J. Daniels, University of Florida
2:40 PM	Bayesian Finite Mixture Regression Models with Cluster-Specific Variable Selection Zhen Wang, University of Iowa; Aixin Tan, University of Iowa
2:45 PM	Bayesian Latent Class Model for Predicting Gestational Age in Health Administrative Data Shuang Wang, University of Rhode Island; Gavino Puggioni, University of Rhode Island; Xuerong Wen, University of Rhode Island
2:50 PM	Using Subject-Level Covariate Information in Bayesian Mixture Models for Basket Trials Presentation Sneha Govande, Florida State University; Elizabeth H. Slate, Florida State University
2:55 PM	Sparse Bayesian High-Dimensional Vector Autoregressions Rui Meng, Lawrence Berkeley National Laboratory
3:00 PM	Semiparametric Bayesian Regression Analysis of Multi-Typed Matrix-Variate Responses Inkoo Lee, Rice University; Dipankar Bandyopadhyay, Virginia Commonwealth University
3:05 PM	A Modified Cauchy-Net for Anomaly Detection Sierra Merkes, Virginia Tech; Scotland Leman, Virginia Tech; Eric Smith, Virgina Tech
3:10 PM	State-Level Estimation by Combining Information from Two Health Surveys Diba Khan, National Center for Health Statistics, Centers for Disease Control and Prevention; John R Pleis, National Center for Health Statistics, Centers for Disease Control and Prevention; Bill Cai, NCHS; Benmei Liu, National Cancer Institute; Eric J. Feuer, National Cancer Institute; Van Parsons, CDC; Yulei He, US Centers for Disease Control and Prevention; Machell Town, Centers for Disease Control and Prevention
3:15 PM	WITHDRAWN An Interpretable and Identifiable Approach to Age Period Cohort Modeling Sean Ryan, Cornell University; David S Matteson, Cornell University

294 !	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Uncertainty Quantification in Deep Learning — Invited Papers
Section on Bayesian Statistical Science, International Association for Statistical Computing, Association for the Advancement of Artificial Intelligence
Organizer(s): Faming Liang, Purdue University
Chair(s): Veronika Rockova, University of Chicago
3:35 PM	Learning a Kernel-Expanded Stochastic Neural Network with Uncertainty Quantification Faming Liang, Purdue University
4:05 PM	Uncertainty Quantification for Sparse Deep Learning Veronika Rockova, University of Chicago; Yuexi Wang, University of Chicago
4:35 PM	Consistent Sparse Deep Learning: Theory and Computation Qifan Song, Purdue University; Faming Liang, Purdue University; Yan Sun, Purdue University
5:15 PM	Floor Discussion

350 * !	Thu, 8/12/2021, 10:00 AM - 11:50 AM	Virtual
Bayesian Structured Variable Selection — Topic-Contributed Papers
International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science, Biometrics Section
Organizer(s): Mahlet G Tadesse, Georgetown University
Chair(s): Mahlet G Tadesse, Georgetown University
10:05 AM	Generalized Structured Shrinkage Priors Using Correlated Scales Maryclare Griffin, University of Massachusetts Amherst
10:25 AM	Global-Local Shrinkage Prior for Variable Selection in Graph-Structured Models Marie Denis, CIRAD; Mahlet G Tadesse, Georgetown University
10:45 AM	Functional Integrative Bayesian Analysis of High-Dimensional Multiplatform Genetic Data (Functional IBAG) Presentation Rupam Bhattacharyya, University of Michigan; Nicholas Henderson, University of Michigan; Veerabhadran Baladandayuthapani, University of Michigan
11:05 AM	Bayesian Varying Coefficient Model with Selection Frédéric Mortier, CIRAD, UPR Forêts et Sociétés, F-34398 Montpellier, France; Université de Montpellier, F-3
11:25 AM	The Dynamic Triple Gamma Prior Peter Knaus, Vienna University of Economics and Business
11:45 AM	Floor Discussion

355	Thu, 8/12/2021, 10:00 AM - 11:50 AM	Virtual
Advanced Bayesian Topics (Part 4) — Contributed Speed
Section on Bayesian Statistical Science
Chair(s): Ray Bai, University of South Carolina
10:05 AM	Nonparametric Empirical Bayes Estimation with Entropic Optimal Transport Jordan Grey Bryan, Department of Statistical Science, Duke University
10:10 AM	Continuous shrinkage priors with dependence Toryn Schafer, Cornell University; David S Matteson, Cornell University
10:15 AM	A Bayesian Two-Level Model for Prediction of Survival Probability in Prime-Boost Vaccination Regimes Yuelin Lu, Pharmalex; John W. Seaman, Baylor University
10:20 AM	A Bayesian Approach to Streaming Multi-File Record Linkage Ian Taylor, Colorado State University; Andee Kaplan, Colorado State University; Brenda Betancourt, University of Florida
10:25 AM	Decision Theoretic Justification for Winner's Curse Adjustment Chloe A Krakauer, University of Washington and Kaiser Permanente Washington Health Research Institute; Ken Rice, Department of Biostatistics, University of Washington
10:30 AM	Predictive Bayes Factor Designs for Phase I Clinical Trials Chenqi Fu, Pennsylvania State University; Shouhao Zhou, Pennsylvania State University
10:35 AM	A General Expression of Conditional Reference Prior Chetkar Jha, University of Pennsylvania; Dongchu Sun, University of Nebraska-Lincoln
10:40 AM	Bayesian Inference of COVID-19 Spread Dynamics in India Kai Yin, Case Western Reserve University
10:45 AM	A Characterization of the Likelihood Ratio Order in Terms of Mixtures Michael Jauch, Cornell University
10:50 AM	Probabilistic Population Synthesis for Decision-Making Christopher Grubb, Virginia Tech
11:00 AM	A Bayesian Ising model to infer the hidden lattice structure of spatial point pattern data Esteban Fernández, The University of Texas at Dallas; Qiwei Li, The University of Texas at Dallas
11:05 AM	Gaussian Bayesian Network Comparisons with Graph Ordering Unknown Hongmei Zhang, University of Memphis; Xianzheng Huang, University of South Carolina; Shengtong Han, University of Wisconsin, Milwaukee; Faisal Rezwan, Cranfield University; Wilfried Karmaus, University of Memphis; Hasan Arshad, University of Southampton; John Holloway, University of Southampton
11:10 AM	Bayesian Variance Estimation and Hypothesis Testing Using Inference Loss Functions Kendrick Li, Department of Biostatistics, University of Washington; Ken Rice, Department of Biostatistics, University of Washington
11:15 AM	Non-Smooth Bayesian Optimization in Tuning Problems Hengrui Luo, Lawrence Berkeley National Laboratory; Yonghyun Cho, University of California, Berkeley; James Demmel, University of California, Berkeley; Xiaoye Li, Lawrence Berkeley National Laboratory; Yang Liu, Lawrence Berkeley National Laboratory
11:20 AM	Bayesian Composite Non-Crossing Quantile Curves Fitting Zhongheng Cai, East China Normal University; Qiao Wang, Department of Statistics, MU; Missouri Cancer Registry and Research Center; Dongchu Sun, University of Nebraska-Lincoln
11:25 AM	Combining Chains of Bayesian Models with Markov Melding Andrew A Manderson, MRC Biostatistics Unit, University of Cambridge; Robert J. B. Goudie, MRC Biostatistics Unit, University of Cambridge
11:30 AM	A Hierarchical Bayesian Model to Standardize and Impute Residence Permit Data Andrea Lisette Aparicio-Castro, Department of Social Statistics, School of Social Sciences, University of Manchester; Arkadiusz Wi?niowski, Department of Social Statistics, School of Social Sciences, University of Manchester; Francisco Rowe, Geographic Data Science Lab, University of Liverpool; Mark Brown, Department of Social Statistics, School of Social Sciences, University of Manchester
11:35 AM	Robust Bayesian Modeling Using Finite Mixtures of Student T Distributions NÍVEA BISPO DA SILVA, Federal University of Bahia

359 * !	Thu, 8/12/2021, 12:00 PM - 1:50 PM	Virtual
Geometry and Bayes: Better Together — Invited Papers
International Society for Bayesian Analysis (ISBA), IMS, Section on Bayesian Statistical Science, Caucus for Women in Statistics
Organizer(s): Didong Li, Princeton University
Chair(s): Didong Li, Princeton University
12:05 PM	Adapting Viral Diffusions to the Geometry of Global Air Transport Andrew J Holbrook, UCLA Biostatistics
12:35 PM	On the Geometry of Bayesian Inference Garritt L Page, Brigham Young University; Miguel De Carvahlo, University of Edinburgh; Bradley Barney, University of Utah
1:05 PM	Diffusion-Based Gaussian Processes on Restricted Domains David Dunson, Duke University; Hau-Tieng Wu, Duke University; Nan Wu, Duke University
1:35 PM	Floor Discussion

376 !	Thu, 8/12/2021, 12:00 PM - 1:50 PM	Virtual
SBSS Paper Competition Winners (Part 2) — Topic-Contributed Papers
Section on Bayesian Statistical Science
Organizer(s): Veronika Rockova, University of Chicago
Chair(s): Veronica J Berrocal, University of California, Irvine
12:05 PM	Measuring Dependence in the Wasserstein Distance for Bayesian Nonparametric Models Marta Catalano, University of Torino
12:25 PM	Graphical Gaussian Process Models for Highly Multivariate Spatial Data Presentation Debangan Dey, Johns Hopkins Bloomberg School of Public Health; Abhirup Datta, Johns Hopkins University; Sudipto Banerjee, University of California Los Angeles
12:45 PM	Bayesian Cumulative Shrinkage for Infinite Factorizations Sirio Legramanti, Bocconi University; Daniele Durante, Bocconi University; David Dunson, Duke University
1:05 PM	Coupled Markov Chain Monte Carlo for High-Dimensional Regression with Half-T Priors Niloy Biswas, Harvard University; Anirban Bhattacharya, Texas A&M University; Pierre Etienne Jacob, Harvard University; James Johndrow, University of Pennsylvania
1:25 PM	Inferring Phenotypic Trait Evolution on Large Trees with Many Incomplete Measurements Gabriel Hassler, UCLA; Max Tolkoff, UCLA; William L. Allen, University of Swansea; Ho Lam Si Tung, Dalhousie University; Philippe Lemey, Rega Institute, KU Leuven; Marc Suchard, University of California Los Angeles
1:45 PM	Floor Discussion

380 * !	Thu, 8/12/2021, 12:00 PM - 1:50 PM	Virtual
Advances in Statistical Learning for Large-Scale and Multidimensional Testing Data — Topic-Contributed Papers
International Chinese Statistical Association, Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): Xiaojing Wang, University of Connecticut
Chair(s): Jingyu Sun, University of Connecticut, Department of Statistics
12:05 PM	Response Accuracy and Response Time in Cognitive Tests Paul De Boeck, The Ohio State University
12:25 PM	Testing the Within-State Distribution in Mixture Models for Responses and Response Times Dylan Molenaar, University of Amsterdam
12:45 PM	A Mixture Response Time Process Model for Aberrant Behavior and Item Nonresponses Jing Lu, Northeast Normal University; Chun Wang, University of Washington
1:05 PM	Parallel Markov Chain Monte Carlo for Bayesian Hierarchical Models with Big Data, in Two Stages Erin Conlon, University of Massachusetts Amherst; Zheng Wei, University of Maine
1:25 PM	Bayesian Joint Item Response Model of Multidimensional Response Data with Application to Computerized Testing Xiaojing Wang, University of Connecticut; Fang Liu, Northeast Normal University; Ming-Hui Chen, UCONN; Roeland Hancock, University of Connecticut
1:45 PM	Floor Discussion

390 * !	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Scalable Bayes for Large Multi-Omics Data Integration and Inference — Invited Papers
Section on Bayesian Statistical Science, Biometrics Section, Biopharmaceutical Section
Organizer(s): Himel Mallick, Merck Research Laboratories
Chair(s): Richard Baumgartner, Merck Research Laboratories
2:05 PM	Bayesian Integrative Approaches to Enable Precision Medicine Veerabhadran Baladandayuthapani, University of Michigan
2:30 PM	Models for Microbial Community Multi-Omics Curtis Huttenhower, Harvard T.H. Chan School of Public Health
2:55 PM	Integrating Gene Networks and Multi-Omics Data to Understand Genetic Mechanisms of Human Complex Diseases Bingshan Li, Vanderbilt University
3:20 PM	Scalable Bayesian Inference of Networks and Covariate Effects Christine B. Peterson, The University of Texas MD Anderson Cancer Center
3:45 PM	Floor Discussion

407 *	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Toward a Regulatory Guidance for the Use of Bayesian Methods in Nonclinical CMC Statistics — Topic-Contributed Papers
Section on Bayesian Statistical Science, Biopharmaceutical Section, Quality and Productivity Section
Organizer(s): Paul Faya, Eli Lilly and Compnay
Chair(s): Paul Faya, Eli Lilly and Compnay
2:05 PM	Toward a Regulatory Guidance for Bayesian Statistics in CMC Studies Dave LeBlond, Consultant
2:25 PM	Gaussian Process Modeling for Dissolution Curve Comparisons Tony Pourmohamad, Genentech, Inc.; Cristian Oliva Aviles, Genentech, Inc.; Robert Richardson, Brigham Young University
2:45 PM	Informative Priors for Formal Stability Studies Percy Sondag, Merck Center for Mathematical Sciences
3:05 PM	Floor Discussion

423 * !	Thu, 8/12/2021, 4:00 PM - 5:50 PM	Virtual
Bayesian Microbiomics — Invited Papers
International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science, Biometrics Section
Organizer(s): Tony Pourmohamad, Genentech, Inc.
Chair(s): Tony Pourmohamad, Genentech, Inc.
4:05 PM	Bayesian Zero-Constrained Regression Modeling with Structured Prior for Microbiome Feature Selection Liangliang Zhang, The University of Texas MD Anderson Cancer Center; Yushu Shi, The University of Missouri Columbia; Kim-Anh Do, The University of Texas MD Anderson Cancer Center; Robert Jenq, The University of Texas MD Anderson Cancer Center; Christine B. Peterson, The University of Texas MD Anderson Cancer Center
4:25 PM	Logistic-tree Normal Model for Microbiome Compositions Li Ma, Duke University; Jialiang Mao, LinkedIn; Zhuoqun Wang, Duke University
4:45 PM	Bayesian Modeling of Metagenomic Sequencing Data for Differential Abundance Analysis Qiwei Li, The University of Texas at Dallas; Shuang Jiang, Southern Methodist University; Nicole De Nisco, The University of Texas at Dallas; Andrew Y. Koh, The University of Texas Southwestern Medical Center; Guanghua Xiao, The University of Texas Southwestern Medical Center; Xiaowei Zhan, The University of Texas Southwestern Medical Center
5:05 PM	Bayesian Variable Selection for High-Dimensional Rank Data Susheela Singh, Youtube; Brian Reich, North Carolina State University; Can Cui, North Carolina State University; Ana-Maria Staicu, North Carolina State University
5:25 PM	Discussant: Juhee Lee, University of California, Santa Cruz
5:45 PM	Floor Discussion

437	Thu, 8/12/2021, 4:00 PM - 5:50 PM	Virtual
Misspecification, Robustness, and Model Assessment — Topic-Contributed Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), IMS
Organizer(s): Jeffrey W Miller, Harvard University
Chair(s): Tamara Broderick, MIT
4:05 PM	An Automatic Finite-Sample Robustness Metric: Can Dropping a Little Data Change Conclusions? Presentation Ryan Giordano, Massachusetts Institute of Technology; Rachael Meager, London School of Economics; Tamara Broderick, MIT
4:25 PM	Synthetic Likelihood in Misspecified Models: Consequences and Robustness David Tyler Frazier, Monash University
4:45 PM	Statistical Inference with Stochastic Gradient Algorithms Jonathan H Huggins, Boston University
5:05 PM	Approximating Cross-Validation: Guarantees for Model Assessment and Selection Ashia Wilson, MIT
5:25 PM	Robust and Reproducible Model Selection Using Bagged Posteriors Jeffrey W Miller, Harvard University; Jonathan H Huggins, Boston University
5:45 PM	Floor Discussion

JSM 2021 Online Program

Activity Details

American Statistical Association