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

21 * !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Bayesian Disease Mapping and Spatial Epidemiology: New Directions and New Frontiers — Topic-Contributed Papers
Section on Statistics in Epidemiology, SSC (Statistical Society of Canada), International Society for Bayesian Analysis (ISBA)
Organizer(s): Ying C MacNab, University of British Columbia
Chair(s): Andrew Booth Lawson, Medical University of South Carolina
1:35 PM	Graph-Based Multivariate Conditional Autoregressive Models Presentation Ye Liang, Oklahoma State University
1:55 PM	Dealing with Large Data Problems in Spatial Disease Mapping Presentation Maria Dolores Ugarte, Universidad Publica de Navarra; Aritz Adin , Universidad Publica de Navarra; Erick Orozco-Acosta, Universidad Publica de Navarra
2:15 PM	Generalized Propensity Score Approach to Causal Inference with Spatial Interference Andrew Giffin, North Carolina State University; Brian Reich, North Carolina State University; Shu Yang, North Carolina State University; Ana Rappold, Environmental Protection Agency
2:35 PM	Novel Bayesian Metrics for Small Area Health Surveillance Joanne Kim, Medical University of South Carolina; Andrew Booth Lawson, Medical University of South Carolina
2:55 PM	On Multidimensional Markov Random Fields for Latent Spatial Components Analysis and Dimension Reduction Ying C MacNab, University of British Columbia
3:15 PM	Floor Discussion

23 !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Bayesian Methods and Approaches in Big Data Analysis — Topic-Contributed Papers
International Society for Bayesian Analysis (ISBA)
Organizer(s): Roberta De Vito, Brown University
Chair(s): Roberta De Vito, Brown University
1:35 PM	Avoiding Prior-Data Conflict in Regression Models via Mixture Priors Leonardo Egidi, University of Trieste; Francesco Pauli, University of Trieste; Nicola Torelli, University of Trieste
1:55 PM	A Bayesian Approach to Multiview Learning Lasse Vuursteen, Leiden University; Botond Szabo, Vrije Universiteit Amsterdam; Timo van der Poel, Leiden University; Wouter van Loon, Leiden Institute of Psychology; Marjolein Fokkema, Leiden University; Mark de Rooij, Leiden University
2:15 PM	Bayesian Infinite Factor Models with Non-Gaussian Factors Margarita Grushanina, Vienna University of Economics and Business; Sylvia Frühwirth-Schnatter, Vienna University of Economics and Business
2:35 PM	Bayesian Latent Class Models for Verbal Autopsy Data from Multiple Domains Zehang Richard Li, University of California, Santa Cruz; Zhenke Wu, University of Michigan, Ann Arbor; Irena Chen, University of Michigan
2:55 PM	Discussant: Adam Szpiro, University of Washington
3:15 PM	Floor Discussion

41 * !	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Storytelling on COVID-19 Impact Using Experts' Prior Knowledge and Data from Social Media, Official Clinical Data, Digital Phenotype from Smartphones' Raw Sensor Data, and Emergency Departments — Invited Papers
International Society for Bayesian Analysis (ISBA), IMS, Royal Statistical Society, Caucus for Women in Statistics
Organizer(s): Kerrie Mengersen, Queensland University of Technology
Chair(s): TBD TBD, TBD
3:35 PM	Predicting the Impact of COVID-19 on the Emergency Departments in Lombardy, Italy Antonietta Mira, Università della Svizzera italiana and University of Insubria; Giulia Ghilardi, Istituto di Ricerche Farmacologiche Mario Negri IRCCS; Greta Carrara, Istituto di Ricerche Farmacologiche Mario Negri IRCCS; Angela Andreella, University of Insubria; Spyros Balafas, University of Insubria; Fabrizio Ruggeri, CNR IMATI ; Ernst C Wit, Universita della Svizzera italiana; Livio Finos, University of Padova; Guido Bertolini, Laboratory of clinical epidemiology; Giovanni Nattino, Istituto di Ricerche Farmacologiche Mario Negri IRCCS
4:00 PM	COVID-19 and the Perils of Inferring Epidemiological Parameters from Clinical Data Ernst C Wit, Universita della Svizzera italiana
4:25 PM	Characterizing Lived Experiences of Highly Vulnerable Populations Through COVID-19 Jukka-Pekka Onnela, Harvard University
4:50 PM	Fusing Tweets, Confirmed Cases, and Death Data to Accurately Now-Cast for COVID-19 Conor Michael Rosato, University of Liverpool; Matthew Carter, University of Liverpool; Robert Moore, University of Liverpool; John Heap, University of Liverpool; Simon Maskell, University of Liverpool; Jose Storopoli, UNINOVE - Sao Paulo - Brazil
5:15 PM	Floor Discussion

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

158 * !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Statistical Methods for High-Dimensional Data in Health Care and Medical Research — Topic-Contributed Papers
Section on Statistics in Epidemiology, International Society for Bayesian Analysis (ISBA), ENAR
Organizer(s): Zehang Richard Li, University of California, Santa Cruz
Chair(s): Zehang Richard Li, University of California, Santa Cruz
10:05 AM	Quantile Probit Copula Model for Association in Paired Study Data Presentation Roberta De Vito, Brown University; Isabella Grabsky, Harvard University; Barbara Engelhardt, Princeton University
10:25 AM	Empirical Evaluation of Internal Validation Methods for Estimating Optimism Error in High-Dimensional Electronic Health Record Data with Rare Event Outcomes Rebecca Yates Coley, Kaiser Permanente Washington Health Research Institute; Qinqing Liao, University of Washington
10:45 AM	Validation of a Portable System for Molecular Diagnostics of SARS-CoV-2 Claudia Wehrhahn, University of California, Santa Cruz; Maricarmen Quirasco Baruch, Universidad Nacional Autónoma de México; Luis Vaca Domínguez, Universidad Nacional Autónoma de México
11:05 AM	Bayesian Sparse Regression for Healthcare Analytics on Network of Observational Databases Akihiko Nishimura, Johns Hopkins Bloomberg School of Public Health; Marc Suchard, University of California Los Angeles
11:25 AM	Empirical Likelihood Approach for Variance Component Test with Repeated Accelerometry Measures Haochang Shou, University of Pennsylvania
11:45 AM	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

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

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

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

379 * !	Thu, 8/12/2021, 12:00 PM - 1:50 PM	Virtual
Bias and Interpretability in Biometrics for Forensic Science — Topic-Contributed Papers
Section on Statistics in Defense and National Security, Advisory Committee on Forensic Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): Christopher Saunders, South Dakota State University
Chair(s): Cami Fuglsby, South Dakota State University
12:05 PM	Machine Learning Methods for Dependent Data Resulting from Forensic Evidence Comparisons Danica M Ommen, Iowa State University; Federico Veneri, Iowa State University
12:25 PM	Covariate-Adjusted ROC Curves: An Introduction and Application to Characterizing Hidden Behavior in Biometric Matching System Larry Tang, University of Central Florida; Martin Slawski, George Mason University; Xiaochen Zhu, George Mason University
12:45 PM	Generalized Fiducial Factor: An Alternative to the Bayes Factor for Forensic Identification of Source Problems Jonathan P Williams, North Carolina State University; Danica M Ommen, Iowa State University; Jan Hannig, University of North Carolina at Chapel Hill
1:05 PM	Machine Testimony Andrea Roth, UC Berkeley School of Law
1:25 PM	Discussant: Mike Smith, FBI Laboratory Division
1:35 PM	Discussant: Christopher Saunders, South Dakota State University
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

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

424	Thu, 8/12/2021, 4:00 PM - 5:50 PM	Virtual
Inference in Infectious Diseases — Invited Papers
IMS, International Society for Bayesian Analysis (ISBA), JASA Applications and Case Studies
Organizer(s): Julia A. Palacios, Stanford University
Chair(s): Julia A. Palacios, Stanford University
4:05 PM	Bayesian Estimation of the Impacts of Widespread Social Distancing and Other Interventions for COVID-19 Carolin Colijn, Simon Fraser University
4:30 PM	Adaptive Preferential Sampling in Phylodynamics Lorenzo Cappello, Stanford University
4:55 PM	Using Multiple Data Streams to Estimate and Forecast SARS-CoV-2 Transmission Dynamics Vladimir N. Minin, University of California, Irvine
5:20 PM	Likelihood-Based Inference for Partially Observed Epidemics via Data Augmentation Jason Xu, Duke University
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