Name: 2022 Joint Statistical Meetings
Start: 2022-08-06T07:00:00+00:00
End: 2022-08-11
Location: Walter E. Washington Convention Center

Conference Program Home
My Program

All Times EDT

Legend:
CC = Walter E. Washington Convention Center M = Marriott Marquis Washington, DC
* = applied session ! = JSM meeting theme

Activity Details

52 * !	Sun, 8/7/2022, 4:00 PM - 5:50 PM	CC-204B
Contrastive Dimension Reduction: Exploring Differential Patterns in High-Dimensional Data — Topic Contributed Papers
Section on Statistical Learning and Data Science, Section on Statistics in Genomics and Genetics, International Society for Bayesian Analysis (ISBA)
Organizer(s): Andrew Jones, Princeton University
Chair(s): Didong Li, Princeton University
4:05 PM	Exploring Patterns Enriched in a Data Set with Contrastive Principal Component Analysis Abubakar Abid, Stanford; James Zou, Stanford University
4:25 PM	Exploring High-Dimensional Biological Data with Sparse Contrastive Principal Component Analysis Philippe Boileau, University of California, Berkeley; Nima S Hejazi, Weill Cornell Medicine; Sandrine Dudoit, University of California, Berkeley
4:45 PM	Probabilistic Models for Contrastive Dimension Reduction with Applications to Sequencing Data Andrew Jones, Princeton University; Barbara E. Engelhardt, Princeton University
5:05 PM	Floor Discussion

56 * !	Sun, 8/7/2022, 4:00 PM - 5:50 PM	CC-143A
Modern Bayesian Methods for Complex Spatial Data — Topic Contributed Papers
International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science, Section on Statistical Computing
Organizer(s): Aritra Halder, University of Virginia; Shariq Mohammed, Boston University
Chair(s): Shariq Mohammed, Boston University
4:05 PM	Curvature Processes: Directional Concavity in Gaussian Random Fields Aritra Halder, University of Virginia
4:25 PM	Beyond Gaussian Processes: Flexible Bayesian Modeling and Inference for Geostatistical Processes Marcos Oliveira Prates, Universidade Federal de Minas Gerais; Guilherme Aparecido Santos Aguilar, Universidade Federal de Minas Gerais; Flávio Bambirra Gonçalves, Universidade Federal de Minas Gerais
4:45 PM	Covariate-Dependent Spatial Ensemble Modeling for Estimating Ambient Air Pollution Concentrations Howard Chang, Emory University
5:05 PM	Spatial Factor Models for High-Dimensional Binary Data Across Large Spatial Domains: A Case Study on Breeding Birds in the United States Jeffrey W. Doser, Michigan State University; Andrew O. Finley, Michigan State University; Sudipto Banerjee, UCLA
5:25 PM	Floor Discussion

99 *	Mon, 8/8/2022, 8:30 AM - 10:20 AM	CC-154A
Applied Bayesian Methods in Sciences — Topic Contributed Papers
Korean International Statistical Society, International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science
Organizer(s): Seongho Song, University of Cincinnati
Chair(s): Dipak K Dey, University of Connecticut
8:35 AM	Joint Modeling with Integrated Fractional Brownian Motion Seongho Song, University of Cincinnati; Anushka Palipana, University of Cincinnati; Rhonda Szczesniak, Cincinnati Children's Hospital Medical Center; Nishant D. Gupta, University of Cincinnati
8:55 AM	Computer Model Emulation and Calibration Using Complex Spatial and Temporal Data Won Chang, University of Cincinnati
9:15 AM	Bayesian Variable Selection in Generalized Linear Mixed Models Using Gaussian and Diffused-Gamma Prior with Application to Breastfeeding Study Jiyeon Song, University of Michigan; Elizabeth Schifano, University of Connecticut; Dipak K Dey, University of Connecticut
9:35 AM	Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments Hang Joon Kim, University of Cincinnati
9:55 AM	Floor Discussion

107	Mon, 8/8/2022, 8:30 AM - 10:20 PM	CC-140A
SPEED: Statistical Methods, Computing, and Applications Part 1 — Contributed Speed
International Society for Bayesian Analysis (ISBA), Section on Nonparametric Statistics, Section on Physical and Engineering Sciences, Section on Statistical Computing, Section on Statistics in Defense and National Security, Section on Statistics in Genomics and Genetics, WNAR
Chair(s): Rui Xie, University of Central Florida
8:35 AM	The Role of Berkson Paradox in Significance Testing Miodrag Lovric, Radford University
8:40 AM	The growclusters Package for R Randall Powers, Bureau of Labor Statistics; Wendy Martinez, Bureau of Labor Statistics; Terrance D Savitsky, U.S. Bureau of Labor Statistics
8:45 AM	Analysis of Accelerometer Data from NHANES Database Using Fréchet Single Index Model Aritra Ghosal , University of California, Santa Barbara ; Wendy Meiring , University of California Santa Barbara ; Alexander Petersen, Brigham Young University; Marcos Matabuena , University of Santiago de Compostela
8:50 AM	Double Sampling for Informative Coarsening: Considerations for Bias Reduction and Efficiency Gain Alex Levis, Harvard T.H. Chan School of Public Health; Rajarshi Mukherjee, Harvard T.H. Chan School of Public Health; Rui Wang, Harvard T.H. Chan School of Public Health; Sebastien Haneuse, Harvard T.H. Chan School of Public Health
8:55 AM	Double Machine Learning in a Semiparametric Approach: An Innovative Causal Inference for Observational Studies Lynda Aouar, University of Northern Colorado
9:00 AM	A Comparison of Regression Discontinuity Effect Estimation for Small Samples Daryl Swartzentruber, The Ohio State University; Eloise E Kaizar, The Ohio State University
9:05 AM	Reliability for Binary and Ordinal Data in Forensics Hina Arora, University of California Irvine; Naomi Kaplan-Damary, Hebrew University; Hal S. Stern, University of California-Irvine
9:10 AM	Approaching Supersaturated Screening as a Pilot Experiment Michael McKibben, NCSU; Jonathan Stallrich, North Carolina State University
9:15 AM	Bayesian Modeling of Spatial Molecular Profiling Data at the Single-Cell Level Jie Yang, The University of Texas at Dallas; Sunyoung Shin, University of Texas at Dallas; Qiwei Li, The University of Texas at Dallas
9:20 AM	W-BETEL: Bayesian Exponentially Tilted Empirical Likelihood with Parametric Restriction via a Modified Wasserstein Metric Abhisek Chakraborty, Texas A & M University; Anirban Bhattacharya, Texas A&M University; Debdeep Pati, Texas A&M University
9:30 AM	Interpretable Modeling of Genotype-Phenotype Landscapes with State-of-the-Art Predictive Power Peter Tonner, National Institute of Standards and Technology; David Ross, National Institute of Standards and Technology; Abe Pressman, National Institute of Standards and Technology
9:35 AM	Cybersecurity and Infrastructure Security Agency Enterprise Conceptual Data Model Swami Natarajan, The MITRE Corporation
9:40 AM	MCMC-CE: A Novel Approach for Accurate Estimation of the Distributions of Large Quadratic Forms of Normal Variables Bich Na Choi, Medical College of Georgia, Augusta University; Yang Shi, Augusta University
9:50 AM	Bayesian Iterative Conditional Stochastic Search (BICOSS) for GWAS Jacob Williams, Virginia Polytechnic Institute and State University; Marco Ferreira, Virginia Tech
9:55 AM	A Statistical Framework for Deepfake Detection Shannon Gallagher, Software Engineering Institute, Carnegie Mellon University; Catherine Bernaciak, Software Engineering Institute, Carnegie Mellon University; Jeffrey Mellon, Software Engineering Institute, Carnegie Mellon University; Dominic Ross, Software Engineering Institute, Carnegie Mellon University
10:00 AM	Developing Logistic Regression for the High-Dimensional DNA Methylation Data Mohamed salem Milad, Arkansas State University
10:05 AM	A Survey of Likelihood Ratio Method Development and Implementation AcrossMultiple Forensic Disciplines Lulu Chen, University of Central Florida; Larry Tang, University of Central Florida; Jonathon Phillips, National Institute of Standards and Technology
10:10 AM	Modeling Sparse Data Using MLE with Applications to Microbiome Data Hani Aldirawi, California State University San Bernardino

10:15 AM	Floor Discussion

158	Mon, 8/8/2022, 10:30 AM - 11:15 AM	CC-Hall D
SPEED: Statistical Methods, Computing, and Applications Part 2 — Contributed Poster Presentations
International Society for Bayesian Analysis (ISBA), Section on Nonparametric Statistics, Section on Physical and Engineering Sciences, Section on Statistical Computing, Section on Statistics in Defense and National Security, Section on Statistics in Genomics and Genetics
Chair(s): Rui Xie, University of Central Florida
01:	The Role of Berkson Paradox in Significance Testing Miodrag Lovric, Radford University
02:	The growclusters Package for R Randall Powers, Bureau of Labor Statistics; Wendy Martinez, Bureau of Labor Statistics; Terrance D Savitsky, U.S. Bureau of Labor Statistics
03:	Analysis of Accelerometer Data from NHANES Database Using Fréchet Single Index Model Aritra Ghosal , University of California, Santa Barbara ; Wendy Meiring , University of California Santa Barbara ; Alexander Petersen, Brigham Young University; Marcos Matabuena , University of Santiago de Compostela
04:	Double Sampling for Informative Coarsening: Considerations for Bias Reduction and Efficiency Gain Alex Levis, Harvard T.H. Chan School of Public Health; Rajarshi Mukherjee, Harvard T.H. Chan School of Public Health; Rui Wang, Harvard T.H. Chan School of Public Health; Sebastien Haneuse, Harvard T.H. Chan School of Public Health
05:	Double Machine Learning in a Semiparametric Approach: An Innovative Causal Inference for Observational Studies Lynda Aouar, University of Northern Colorado
06:	A Comparison of Regression Discontinuity Effect Estimation for Small Samples Daryl Swartzentruber, The Ohio State University; Eloise E Kaizar, The Ohio State University
07:	Reliability for Binary and Ordinal Data in Forensics Hina Arora, University of California Irvine; Naomi Kaplan-Damary, Hebrew University; Hal S. Stern, University of California-Irvine
08:	Approaching Supersaturated Screening as a Pilot Experiment Michael McKibben, NCSU; Jonathan Stallrich, North Carolina State University
09:	Bayesian Modeling of Spatial Molecular Profiling Data at the Single-Cell Level Jie Yang, The University of Texas at Dallas; Sunyoung Shin, University of Texas at Dallas; Qiwei Li, The University of Texas at Dallas
10:	W-BETEL: Bayesian Exponentially Tilted Empirical Likelihood with Parametric Restriction via a Modified Wasserstein Metric Abhisek Chakraborty, Texas A & M University; Anirban Bhattacharya, Texas A&M University; Debdeep Pati, Texas A&M University
11:	Interpretable Modeling of Genotype-Phenotype Landscapes with State-of-the-Art Predictive Power Peter Tonner, National Institute of Standards and Technology; David Ross, National Institute of Standards and Technology; Abe Pressman, National Institute of Standards and Technology
12:	Cybersecurity and Infrastructure Security Agency Enterprise Conceptual Data Model Swami Natarajan, The MITRE Corporation
13:	MCMC-CE: A Novel Approach for Accurate Estimation of the Distributions of Large Quadratic Forms of Normal Variables Bich Na Choi, Medical College of Georgia, Augusta University; Yang Shi, Augusta University
14:	Taking PDE Solutions from Low-Fidelity to High-Fidelity Using Bayesian Dynamic Function on Function Regression Marie Tuft, Sandia National Laboratories; Daniel Ries, Sandia National Labs
15:	Bayesian Iterative Conditional Stochastic Search (BICOSS) for GWAS Jacob Williams, Virginia Polytechnic Institute and State University; Marco Ferreira, Virginia Tech
16:	A Statistical Framework for Deepfake Detection Shannon Gallagher, Software Engineering Institute, Carnegie Mellon University; Catherine Bernaciak, Software Engineering Institute, Carnegie Mellon University; Jeffrey Mellon, Software Engineering Institute, Carnegie Mellon University; Dominic Ross, Software Engineering Institute, Carnegie Mellon University
17:	Multi-Omics Integrative Analysis for Incomplete Data Using Weighted P-Value Adjustment Approaches Wenda Zhang, University of South Carolina
18:	Developing Logistic Regression for the High-Dimensional DNA Methylation Data Mohamed salem Milad, Arkansas State University
19:	A Survey of Likelihood Ratio Method Development and Implementation AcrossMultiple Forensic Disciplines Lulu Chen, University of Central Florida; Larry Tang, University of Central Florida; Jonathon Phillips, National Institute of Standards and Technology
20:	Modeling Sparse Data Using MLE with Applications to Microbiome Data Hani Aldirawi, California State University San Bernardino

189	Mon, 8/8/2022, 2:00 PM - 3:50 PM	CC-159AB
SBSS Student Paper Competition I — Topic Contributed Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): Veronica J Berrocal, University of California
Chair(s): Veronica J Berrocal, University of California
2:05 PM	Warped Dynamic Linear Models for Time Series of Counts Brian King, Rice University; Daniel Kowal, Rice University
2:25 PM	An Alternative Metric for Evaluating the Potential Patient Benefit of Response-Adaptive Randomization Procedures Jennifer Lauren Proper, University of Minnesota Twin Cities; Thomas Murray , University of Minnesota
2:45 PM	The Computational Asymptotics of Gaussian Variational Inference and the Laplace Approximation Zuheng Xu, University of British Columbia - Vancouver, BC; Trevor Campbell, UBC
3:05 PM	A Variational Bayesian Approach to Identifying Whole-Brain Directional Networks with fMRI Data Yaotian Wang, University of Pittsburgh; Guofen Yan, University of Virginia; Xiaofeng Wang, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University; Tingting Zhang, University of Pittsburgh
3:25 PM	Density Regression with Bayesian Additive Regression Trees Vittorio Orlandi, Duke University; Jared S Murray, The University of Texas McCombs School of Business; Antonio R. Linero, University of Texas at Austin; Alex Volfovsky, Duke University
3:45 PM	Floor Discussion

191 !	Mon, 8/8/2022, 2:00 PM - 3:50 PM	CC-158AB
Misspecification and Robustness: Novel Methods and Innovative Insights — Topic Contributed Papers
International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science, IMS
Organizer(s): Jeffrey Miller, Harvard TH Chan School of Public Health
Chair(s): Diana Cai, Princeton University
2:05 PM	Bayesian Data Selection Eli Nathan Weinstein, Columbia University; Jeffrey Miller, Harvard TH Chan School of Public Health
2:25 PM	Robust Inference Using Posterior Bootstrap Emilia Pompe, University of Oxford
2:45 PM	Fast Approximate BayesBag Model Selection via Taylor Expansions Neil Archibald Spencer, Harvard University; Jeffrey Miller, Harvard TH Chan School of Public Health
3:05 PM	On the Robustness to Misspecification of Alpha-Posteriors and Their Variational Approximations Marco Avella Medina, Columbia University; Cynthia Rush, Columbia University; Jose Luis Montiel Olea, Columbia University; Amilcar Velez, Northwestern University
3:25 PM	Truth-Agnostic Diagnostics for Calibration Under Misspecification Jeffrey Miller, Harvard TH Chan School of Public Health; Jonathan H Huggins, Boston University
3:45 PM	Floor Discussion

238 *	Tue, 8/9/2022, 8:30 AM - 10:20 AM	CC-204B
Advances in Spatial and Temporal Models for Complex Environmental Systems — Topic Contributed Papers
Section on Bayesian Statistical Science, Section on Statistics and the Environment, International Society for Bayesian Analysis (ISBA)
Organizer(s): Ephraim M Hanks, The Pennsylvania State University
Chair(s): Veronica J Berrocal, University of California
8:35 AM	Realistic and Fast Modeling of Spatial Extremes Over Large Geographical Domains Arnab Hazra, Indian Institute of Technology Kanpur; Raphael Huser, King Abdullah University of Science and Technology (KAUST); David Bolin, King Abdullah University of Science and Technology (KAUST)
8:55 AM	Modeling First Arrival of Migratory Birds Using a Hierarchical Max-Infinitely Divisible Process Benjamin Shaby, Colorado State University; Dhanushi Wijeyakulasuriya, Microsoft Corp.; Ephraim M Hanks, The Pennsylvania State University
9:15 AM	Joint Modeling of Individual Telemetry and Species Distribution Data to Understand Migratory Behavior of Golden Eagles Ephraim M Hanks, The Pennsylvania State University
9:35 AM	Floor Discussion

254	Tue, 8/9/2022, 10:30 AM - 12:20 PM	CC-158AB
Novel Bayesian Methods for Structural Data: Justification and Applications — Invited Papers
International Indian Statistical Association, International Society for Bayesian Analysis (ISBA), IMS
Organizer(s): Subhashis Ghoshal, North Carolina State University
Chair(s): Subhashis Ghoshal, North Carolina State University
10:35 AM	Bayesian Analysis of Multiway Data with Applications to Professional Basketball Game Analysis Weining Shen, University of California, Irvine
11:00 AM	Bayesian Analysis of Function Data Observed Over a Graph with an Application to a Daily Temperature Data Arkaprava Roy, University of Florida; Subhashis Ghoshal, North Carolina State University
11:25 AM	An Approximate Bayesian Approach to Covariate Dependent Graphical Modeling Sutanoy Dasgupta, Texas A&M University; Prasenjit Ghosh, Texas A&M University; Debdeep Pati, Texas A&M University; Bani Mallick, Texas A&M University
11:50 AM	Leveraging Low-Dimensional Structure for Efficient Gibbs Posterior Inference Ryan G Martin, North Carolina State University
12:15 PM	Floor Discussion

268	Tue, 8/9/2022, 10:30 AM - 12:20 PM	CC-201
SBSS Student Paper Competition II — Topic Contributed Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): Veronica J Berrocal, University of California
Chair(s): Huiyan Sang, Texas A&M University
10:35 AM	Structured Mixture of Continuation-Ratio Logits Models for Ordinal Regression Jizhou Kang, University of California, Santa Cruz; Athanasios Kottas, University of California, Santa Cruz
10:55 AM	Robust Generalised Bayesian Inference for Intractable Likelihoods Takuo Matsubara, Newcastle University; Jeremias Knoblauch, University College London; François-Xavier Briol, University College London; Chris Oates, Newcastle University
11:15 AM	Vector-Valued Control Variates Presentation Zhuo Sun, University College London; Alessandro Barp, University of Cambridge; François-Xavier Briol, University College London
11:35 AM	Bayesian Image Mediation Analysis Presentation Yuliang Xu, University of Michigan; Jian Kang, University of Michigan
11:55 AM	Two-Sample Bayesian Causal Directed Acyclic Graphs for Observational Zero-Inflated Count Data Junsouk Choi, Texas A&M University; Yang Ni, Texas A&M University; Robert S. Chapkin, Texas A&M University
12:15 PM	Floor Discussion

274 * !	Tue, 8/9/2022, 10:30 AM - 12:20 PM	CC-101
Advances in Scalable Bayesian Methods for Spatial Data — Topic Contributed Papers
International Society for Bayesian Analysis (ISBA)
Organizer(s): Sally Paganin, Harvard University
Chair(s): Sally Paganin, Harvard University
10:35 AM	Spatial Factor Modeling: A Bayesian Matrix-Normal Approach for Massive Spatial Data with Missing Observations Lu Zhang, Columbia University; Sudipto Banerjee, UCLA
10:55 AM	Multivariate Nearest-Neighbors Gaussian Processes with Random Covariance Matrices Isabelle Grenier, UC Santa Cruz; Bruno Sanso, UC Santa Cruz
11:15 AM	Spatial Meshing and Manifold Preconditioning for Big Multivariate Models Michele Peruzzi, Duke University; David Dunson, Duke University
11:35 AM	Floor Discussion

308 * !	Tue, 8/9/2022, 2:00 PM - 3:50 PM	CC-150A
Highlights in Bayesian Analysis: Innovations in Bayesian Learning — Invited Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), Section on Statistical Learning and Data Science
Organizer(s): Michele Guindani, University of California, Irvine
Chair(s): Veronica J Berrocal, University of California
2:05 PM	Informative Bayesian Neural Network Priors for Weak Signals Tianyu Cui, Aalto University; Aki Havulinna, Finnish Institute for Health and Welfare (THL); Pekka Marttinen, Aalto University; Samuel Kaski, Aalto University and University of Manchester
2:30 PM	Fast and Accurate Estimation of Non-Nested Binomial Hierarchical Models Using Variational Inference Max Goplerud, University of Pittsburgh
2:55 PM	Bayesian Survival Tree Ensembles with Submodel Shrinkage Antonio R. Linero, University of Texas at Austin; Piyali Basak, Merck Pharmaceuticals; Yinpu Li, Florida State University; Debajyoti Sinha, Florida State University
3:20 PM	Bayesian Hierarchical Stacking: All Models Are Wrong, but Some Are Somewhat Useful Yuling Yao, Flatiron Institute; Gregor Pirš, University of Ljubljana; Aki Vehtari, Aalto University; Andrew Gelman, Columbia University
3:45 PM	Floor Discussion

333	Tue, 8/9/2022, 2:00 PM - 3:50 PM	CC-141
Advances in Bayesian Modeling — Contributed Papers
International Society for Bayesian Analysis (ISBA)
Chair(s): Athanasios Kottas, University of California, Santa Cruz
2:05 PM	Bayesian Nonparametric Modeling for Spatial Hawkes Processes Chunyi Zhao, University of California, Santa Cruz; Athanasios Kottas, University of California, Santa Cruz
2:20 PM	Blocked Gibbs Sampling for Improved Convergence in Mixture Models David Swanson, University of Oslo
2:35 PM	Functional Partial Membership Models Nicholas Marco, University of California, Los Angeles; Damla Senturk, University of California, Los Angeles; Donatello Telesca, University of California, Los Angeles
2:50 PM	Objective Bayesian Model Selection for Generalized Linear Mixed Models Marco Ferreira, Virginia Tech; Erica May Porter, Virginia Tech; Christopher Franck, Virginia Tech; shuangshuang xu, virginia tech
3:05 PM	Multilevel Network Recovery Through Nonparametric Kernel Machine Regression Adapted for Correlated Variable Selection Inyoung Kim, Virginia Tech; Mohamed Salem, Virginia Polytechnic Institute an State University
3:20 PM	Intuitive Joint Priors for Bayesian Multilevel Models: The R2D2M2 Prior Javier Enrique Aguilar Romero, University of Stuttgart (Cluster of Excellence SimTech); Paul-Christian Bürkner, University of Stuttgart (Cluster of Excellence SimTech)
3:35 PM	Floor Discussion

404 * !	Wed, 8/10/2022, 10:30 AM - 12:20 PM	CC-204B
Gaussian Process Models Over Non-Euclidean Domains — Invited Papers
International Society for Bayesian Analysis (ISBA), IMS, Section on Nonparametric Statistics
Organizer(s): Didong Li, Princeton University
Chair(s): Abhi Datta, Johns Hopkins University
10:35 AM	Inference for Gaussian Processes on Compact Riemannian Manifold Didong Li, Princeton University; Wenpin Tang, Columbia University; Sudipto Banerjee, UCLA
11:05 AM	Inferring Manifolds from Noisy Data Using Gaussian Processes Nan Wu, Duke University; David Dunson, Duke University
11:35 AM	Nonparametric Multi-Shape Modeling with Uncertainty Quantification Hengrui Luo, Lawrence Berkeley National Laboratory; Justin Strait, Los Alamos National Laboratory
12:05 PM	Floor Discussion

410 * !	Wed, 8/10/2022, 10:30 AM - 12:20 PM	CC-154A
Bayesian Adaptive Designs and Novel Strategies for Dose Optimization in Cellular Therapy Drug Development — Topic Contributed Papers
Biopharmaceutical Section, International Society for Bayesian Analysis (ISBA), Stats. Partnerships Among Academe Indust. & Govt. Committee
Organizer(s): Yunqi Zhao, Takeda Pharmaceutical
Chair(s): Yunqi Zhao, Takeda Pharmaceutical
10:35 AM	The Ji3+3 Design for Cell/Gene Therapy Dose-Finding Trials with Joint Efficacy and Toxicity Outcomes Yuan Ji, The University of Chicago; Xiaolei Lin, Fudan University
10:55 AM	PMED: Optimal Bayesian Design for Platform Trials with Multiple Endpoints Rachael Liu, Takeda Pharamaceuticals; Tian He, Indiana University Purdue University Indianapolis; Meizi Liu, Takeda pharmaceuticals; Jianchang Lin, Takeda Pharmaceuticals
11:15 AM	A Sequential Basket Trial Design Based on Multi-Source Exchangeability with Predictive Probability Monitoring Alexander Kaizer, University of Colorado Anschutz Medical Campus; Emily Zabor, Cleveland Clinic; Lei Nie, U. S. FDA; Brian P Hobbs, The University of Texas
11:35 AM	GBOIN-ET: A Generalized Bayesian Optimal Interval Design for Optimal Dose-Finding Accounting for Ordinal Graded Efficacy and Toxicity in Early Clinical Trials Presentation Kentaro Takeda, Astellas Pharma Global Development, Inc.
11:55 AM	Discussant: Shuqi Wang, Georgetown University
12:15 PM	Floor Discussion

417 !	Wed, 8/10/2022, 10:30 AM - 12:20 PM	CC-204A
Statistical Methods for Discovering Latent Structures in High-Dimensional and Complex Data — Topic Contributed Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), Section on Statistical Learning and Data Science
Organizer(s): Zehang Richard Li, UCSC
Chair(s): Zhenke Wu, University of Michigan, Ann Arbor
10:35 AM	Bayesian Pyramids: Identifiable Multilayer Discrete Latent Structure Models for Discrete Data Yuqi Gu, Columbia University; David Dunson, Duke University
10:55 AM	Statistical Neuroscience in the Single Trial Limit Scott Linderman, Stanford University
11:15 AM	Latent Class Models for Prevalence Estimation of Emerging Diseases Using Verbal Autopsy Data Zehang Richard Li, UCSC
11:35 AM	Exploration of Latent Structure in Test Review and Revision Log Data Susu Zhang, University of Illinois at Urbana-Champaign; Anqi Li, University of Illinois at Urbana-Champaign; Shiyu Wang, University of Georgia
11:55 AM	Discussant: Elena Erosheva, University of Washington
12:15 PM	Floor Discussion

456 * !	Wed, 8/10/2022, 2:00 PM - 3:50 PM	CC-204B
Exploiting Lower-Dimensional Structure in Gaussian Process Regression — Invited Papers
Section on Bayesian Statistical Science, International Indian Statistical Association, International Society for Bayesian Analysis (ISBA)
Organizer(s): Sanvesh Srivastava, Department of Statistics and Actuarial Science
Chair(s): Terrance D Savitsky, U.S. Bureau of Labor Statistics
2:05 PM	A Gaussian Process Framework for Modeling with Network Inputs Nathaniel Josephs, Yale University; Lizhen Lin, The University of Notre Dame; Steven Rosenberg, Boston University; Eric Kolaczyk, Boston University
2:35 PM	Bayesian Heavy-Tailed Density Estimation Surya T. Tokdar, Duke University; Erika Cunningham, Unaffiliated; Sheng Jiang, University of California Santa Cruz
3:05 PM	Classification Trees for Imbalanced Data: Surface-to-Volume Regularization Presentation Yichen Zhu, Duke University; Cheng Li, National University of Singapore; David Dunson, Duke University
3:35 PM	Floor Discussion

458 * !	Wed, 8/10/2022, 2:00 PM - 3:50 PM	CC-202A
Bayesian Methods in Spatial Statistics — Invited Papers
WNAR, International Society for Bayesian Analysis (ISBA), JABES-Journal of Agricultural, Biological, and Environmental Statistics
Organizer(s): Weining Shen, University of California, Irvine
Chair(s): Weining Shen, University of California, Irvine
2:05 PM	Spatial Confounding and Restricted Spatial Regression Methods Kate Calder, University of Texas at Austin; Kori Khan, Iowa State University
2:25 PM	Bayesian Nonparametric Learning for Spatial Point Process Guanyu Hu, University of Missouri
2:45 PM	Bayesian Data Sketching for Large Spatial Data Rajarshi Guhaniyogi, Texas A & M University; Sudipto Banerjee, UCLA; Laura Baracaldo, UC Santa Cruz
3:05 PM	Nonparametric Bayesian Inference for Spatial Point Patterns Over Irregular Domains Athanasios Kottas, University of California, Santa Cruz; Chunyi Zhao, University of California, Santa Cruz
3:25 PM	Can Deep Neural Networks Replace Gaussian Processes? Matthew Heaton, BYU; Skyler D. Gray, BYU
3:45 PM	Floor Discussion

484 *	Wed, 8/10/2022, 2:00 PM - 3:50 PM	CC-155
Applied Bayesian Methodology — Contributed Papers
International Society for Bayesian Analysis (ISBA)
Chair(s): Lorenzo Trippa, DFCI
2:05 PM	Bayesian Inference for Asymptomatic COVID-19 Infection Rates Presentation Dexter Cahoy, University of Houston-Downtown; Joseph Sedransk, University of Maryland
2:20 PM	A New Statistical Approach for the Simultaneous Clustering of Genes and Cells in Spatial Transcriptomic Experiments Andrea Sottosanti, University of Padova; Davide Risso, University of Padova
2:35 PM	A Hierarchical Hidden Markov Model for Cancer Detection Sally Paganin, Harvard University; Jeffrey Miller, Harvard TH Chan School of Public Health
2:50 PM	Multilevel Bayesian Joint Modeling for a Longitudinal Marker and Time-to-Recurrent Event to Characterize Heterogeneity in Multi-Center Studies Grace Chen Zhou, University of Cincinnati; Seongho Song, University of Cincinnati; Pedro M. Afonso, Erasmus Medical Center; Eleni-Rosalina Andrinopoulou, Erasmus Medical Center; Rhonda Szczesniak, Cincinnati Children's Hospital Medical Center
3:05 PM	Bayesian Uncertainty Directed Designs with Delayed Outcomes Daniel Schwartz, University of Chicago; Yuan Ji, The University of Chicago
3:20 PM	Adaptive Bayesian Sum of Trees Model for Covariate Dependent Spectral Analysis Yakun Wang, George Mason University; Scott Alan Bruce, Texas A&M University; Zeda Li, City University of New York
3:35 PM	Floor Discussion

513 * !	Thu, 8/11/2022, 8:30 AM - 10:20 AM	CC-143C
Bayesian Learning for the Health Care and Disparities in the 21st Century — Topic Contributed Papers
International Society for Bayesian Analysis (ISBA), Biometrics Section, Health Policy Statistics Section
Organizer(s): Anjishnu Banerjee, Medical College of Wisconsin
Chair(s): Anjishnu Banerjee, Medical College of Wisconsin
8:35 AM	Bayesian Nonlinear Models for Data Integration and Distributed Statistical Inference sounak chakraborty, university of missouri; Tanujit Dey, Harvard University; Anjishnu Banerjee, Medical College of Wisconsin
8:55 AM	Robust Inference on Uncomfirming Silos Yilun Huang, University of Missouri-Columbia; sounak chakraborty, university of missouri; Tanujit Dey, Harvard University; Anjishnu Banerjee, Medical College of Wisconsin
9:15 AM	Transformation into Next-Generation Risk Management Through Bayesian Lag Joint Model Yan Gao, Medical College of Wisconsin; Sanjib Basu, Biostatistics, University of Illinois Chicago
9:35 AM	Bayesian Learning for Disparities and Race Related Measures from Integrated Data Sources, Using Rare Event and Hierarchical Models Tanujit Dey, Harvard University; Anjishnu Banerjee, Medical College of Wisconsin; sounak chakraborty, university of missouri
9:55 AM	Discussant: Srijan Sengupta, NCSU
10:15 AM	Floor Discussion

536 * !	Thu, 8/11/2022, 10:30 AM - 12:20 PM	CC-201
Advanced Bayesian Methods for Modern Clinical Trials — Invited Papers
International Society for Bayesian Analysis (ISBA), Biopharmaceutical Section, Section on Bayesian Statistical Science
Organizer(s): Yuan Ji, The University of Chicago
Chair(s): Yanxun Xu, Johns Hopkins University
10:35 AM	Estimating the Design Operating Characteristics in Bayesian Adaptive Clinical Trials Presentation Shirin Golchi, McGill University
10:55 AM	On Bayesian Sequential Clinical Trial Designs Tianjian Zhou, Colorado State University; Yuan Ji, The University of Chicago
11:15 AM	The Use of External Control Data for Predictions and Futility Interim Analyses in Clinical Trials Lorenzo Trippa, DFCI
11:35 AM	Bayesian Nonparametric Common Atoms Regression for Generating Synthetic Controls in Clinical Trials Peter Mueller, The University of Texas at Austin; Noirrit Kiran Chandra, The University of Texas at Austin; Abhra Sarkar, The University of Texas at Austin
11:55 AM	Discussant: Yuan Ji, The University of Chicago
12:15 PM	Floor Discussion

541 * !	Thu, 8/11/2022, 10:30 AM - 12:20 PM	CC-202B
Bayesian Design in Clinical Trial and Some Challenging Issues — Topic Contributed Papers
Section on Bayesian Statistical Science, Biopharmaceutical Section, International Society for Bayesian Analysis (ISBA)
Organizer(s): Fei Wang, Boehringer Ingelheim
Chair(s): Guan Xing, Gilead
10:35 AM	Practical Steps for Dynamic Borrowing of Historical Control Data in Clinical Trials Farid Jamshidian, Gilead Sciences; Ron Xiaolong Yu, Gilead Sciences
10:55 AM	Exploring Approaches to Sample Size Determination Within a Bayesian Framework Jane Pan, University of California, Los Angeles
11:15 AM	Predicting Outcomes of Phase III Oncology Trials with Bayesian Mediation Modeling of Tumor Response Xun Jiang, Amgen; Jie Zhou, Novartis; Brian P Hobbs, The University of Texas; Peng N/A Wei, The University of Texas MD Anderson Cancer Center; Amy Xia, Amgen
11:35 AM	Bayesian Design in Clinical Trial and Some Challenging Issues Fei Wang, Boehringer Ingelheim
11:55 AM	Perceived Barriers and Educational Preferences Among Medical Researchers Involved in Drug Development Jennifer Clark, FDA; BSWG Medical Outreach Subteam, DIA
12:15 PM	Floor Discussion

JSM 2022 Conference Program

Activity Details

American Statistical Association