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

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

Activity Details

15 !	Sun, 8/7/2022, 2:00 PM - 3:50 PM	CC-102A
Subsampling: Basic Tool That Facilitates the Identification of Statistical Relationships in Big Data — Topic Contributed Papers
Section on Statistical Learning and Data Science, International Indian Statistical Association, Section on Physical and Engineering Sciences
Organizer(s): Rakhi Singh, UNC Greensboro
Chair(s): Rakhi Singh, UNC Greensboro
2:05 PM	Unweighted Estimation Based on Optimal Sample Under Measurement Constraints Jing Wang, University of Connecticut
2:25 PM	Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data HaiYing Wang, Uninversity of Connecticut; Aonan Zhang, ByteDance Inc.; Chong Wang, ByteDance Inc.
2:45 PM	Using Subsampling to Speed up Training in Attention-Based NNs: A Case Study at Doing Statistics at Scale in the Amazon Supply Chain Dean p foster, Amazon; Kenny Shirley, Amazon
3:05 PM	Supervised Compression of Big Data Roshan V Joseph, Georgia Institute of Technology; Simon Mak, Duke University
3:25 PM	Subdata Selection Methods John Stufken, UNC Greensboro
3:45 PM	Floor Discussion

17 * !	Sun, 8/7/2022, 2:00 PM - 3:50 PM	CC-158AB
Statistics in Finance — Topic Contributed Papers
Business and Economic Statistics Section, International Indian Statistical Association, International Statistical Institute, Text Analysis Interest Group
Organizer(s): Rituparna Sen, Indian Statistical Institute
Chair(s): Sourish Das, Chennai Mathematical Institute
2:05 PM	Network Analysis of Contagion Between Large Number of Financial Entities Presentation Rituparna Sen, Indian Statistical Institute; Sumanta Basu, Cornell University; Georgia Smits, Cornell University
2:25 PM	Building Natural Language Processing Applications with Statistical Measurement for FinTech Qiuyan Xu, Gravitate AI
2:45 PM	A Novel Filter of Financial Networks from High-Dimensional Data. Arnab Chakrabarti, FLAME University
3:05 PM	Rough Volatility: Fact or Artefact? Purba Das, University of Oxford
3:25 PM	Using Bayesian Non-Gaussian Time Series Models for Analysis of Financial Data Refik Soyer, George Washington University
3:45 PM	Floor Discussion

21 *	Sun, 8/7/2022, 2:00 PM - 3:50 PM	CC-203AB
Advances of Statistical Methodologies in Proteogenomic Research — Topic Contributed Papers
Biometrics Section, Section on Statistics in Genomics and Genetics, International Indian Statistical Association
Organizer(s): Shrabanti Chowdhury, Icahn school of Medicine at Mount Sinai
Chair(s): Pei Wang, Icahn school of Medicine at Mount Sinai
2:05 PM	Multilevel Modeling Accounts for Diverse Sources of Variation in Proteomic Experiments with Complex Designs Olga Vitek, Northeastern University
2:25 PM	DAGBagM: Learning Directed Acyclic Graphs of Mixed Variables with an Application to Identify Protein Biomarkers for Treatment Response in Ovarian Cancer Shrabanti Chowdhury, Icahn school of Medicine at Mount Sinai; Ru Wang, University of California Davis; Jie Peng, University of California Davis; Pei Wang, Icahn school of Medicine at Mount Sinai
2:45 PM	BayesDeBulk: A Flexible Bayesian Algorithm for the Deconvolution of Bulk Tumor Data Francesca Petralia, Icahn School of Medicine at Mount Sinai
3:05 PM	HID Machine: A Random Forest-Based High Order Interaction Discovery Method for High-Dimensional Genomic Data Min Lu, University of miami; Yifan Sha, University of Miami; Xi Steven Chen, University of miami
3:25 PM	Modeling Genomic and Proteomic Signals for the Early Detection of Cancer Steven James Skates, Massachusetts General Hospital; Yiling Liu, Massachusetts General Hospital; Wenqing Jiang, Boston University School of Public Health; Bethan Powell, Kaiser-Permanente Northern California; Scott Lenttz, Kaiser-Permanente Southern California
3:45 PM	Floor Discussion

93 * !	Mon, 8/8/2022, 8:30 AM - 10:20 AM	CC-144B
Recent Advances in Statistical Inference on Network Data — Invited Papers
IMS, Section on Nonparametric Statistics, International Indian Statistical Association
Organizer(s): Sharmodeep Bhattacharyya, Oregon State University
Chair(s): Sharmodeep Bhattacharyya, Oregon State University
8:35 AM	Manifold Learning for Subsequent Inference Carey E Priebe, Johns Hopkins University
9:00 AM	Edge Differentially Private Estimation in the Network Beta-Model via Jittering and Method of Moments Jinyuan Chang, Southwestern University of Finance & Economics; Qiao Hu, Southwestern University of Finance & Economics; Eric Kolaczyk, Boston University; QIWEI YAO, London School of Economics; Fengting Yi, Southwestern University of Finance & Economics
9:25 AM	Resampling Methods for Networks Elizaveta Levina, University of Michigan
9:50 AM	Efficient Local Change-Point Detection for Complex Networks with Applications Shirshendu Chatterjee, City University of New York, City College; Sharmodeep Bhattacharyya, Oregon State University
10:15 AM	Floor Discussion

223536	Mon, 8/8/2022, 11:00 AM - 12:30 PM	M-Capitol
ASA Asian Forward - Career Development Workshop — Other ICW
Korean International Statistical Society, International Chinese Statistical Association, International Indian Statistical Association, ASA
Organizer(s): MoonJung Cho, U.S. Bureau of Labor Statistics

174 * !	Mon, 8/8/2022, 2:00 PM - 3:50 PM	CC-202A
Patient Centricity at the Heart of Innovative Trial Design — Invited Papers
Biopharmaceutical Section, International Indian Statistical Association, Health Policy Statistics Section
Organizer(s): Satrajit Roychoudhury, Pfizer Inc
Chair(s): Satrajit Roychoudhury, Pfizer Inc
2:05 PM	The Predictive Individual Effect for Survival Data Kannan Natarajan, Pfizer
2:30 PM	The Impact of Complex Innovative Trial Designs: Past, Present, and Future Dionne Price, Food and Drug Administration
2:55 PM	Deliver Transformative Medicines to Patients by Leveraging Complex Innovative Designs Amy Xia, Amgen
3:20 PM	Innovations to Ascertain Predictive from Prognostic Targets Brian P Hobbs, The University of Texas
3:45 PM	Floor Discussion

223569	Mon, 8/8/2022, 5:30 PM - 7:00 PM	M-Congress
IISA Mixer and General Body Meeting — Other ICW
International Indian Statistical Association
Chair(s): Hiya Banerjee, IISA; Hiya Banerjee, Sr. Principal Biostatistician

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

258 !	Tue, 8/9/2022, 10:30 AM - 12:20 PM	CC-206
On Recent Progress in Measuring Dependence and Conditional Dependence — Invited Papers
IMS, Section on Nonparametric Statistics, International Indian Statistical Association
Organizer(s): Bodhisattva Sen, Columbia University
Chair(s): Bodhisattva Sen, Columbia University
10:35 AM	Measuring Association/Conditional Association on Topological Spaces Using Kernels and Geometric Graphs NABARUN DEB, Columbia University; Promit Ghosal, MIT; Bodhisattva Sen, Columbia University
11:00 AM	Recent Advances in Applying Floodgate to High-Dimensional Inference Lucas Janson, Harvard University; Lu Zhang, Harvard University
11:25 AM	On Chatterjee's Rank Correlation Fang Han, University of Washington; Zhexiao Lin, University of Washington
11:50 AM	Non-Parametric Local Causal Structure Learning Mona Azadkia, ETH Zürich ; Armeen Taeb, ETH Zürich ; Peter Bühlmann, ETH Zürich
12:15 PM	Floor Discussion

318	Tue, 8/9/2022, 2:00 PM - 3:50 PM	CC-204B
Robust Regression Methods: From Independent Observations to Spatial Dependence — Topic Contributed Papers
International Indian Statistical Association
Organizer(s): Souparno Ghosh, U. Nebraska-Lincoln
Chair(s): Bertrand Clarke, U. Nebraska-Lincoln
2:05 PM	Robust Density Power Divergence Estimates for Panel Data Models Soutir Bandyopadhyay, Colorado School of Mines; Abhijit Mandal, Univeristy of Texas at El Paso; Beste Hamiye Beyaztas, Istanbul Medeniyet Universitesi
2:25 PM	Parameter Estimation and Variable Selection in Bayesian Quantile Regression Models Mai Dao, Wichita State University; Min Wang, The University of Texas at San Antonio; Souparno Ghosh, U. Nebraska-Lincoln
2:45 PM	Joint Quantile Regression Under Spatial Dependency Surya T. Tokdar, Duke University
3:05 PM	A Novel Bayesian Approach for Quantile Regression in High-Dimensional Models Min Wang, The University of Texas at San Antonio; Shen Zhang, The University of Texas at San Antonio; Mai Dao, Wichita State University
3:25 PM	Computer Model Calibration with Time Series Data Using Deep Learning and Quantile Regression Seonjin Kim, Miami Univeristy; Saumya Bhatnagar, University of Cincinnati; Won Chang, University of Cincinnati; Jiali Wang, Argonne National Laboratory
3:45 PM	Floor Discussion

360 * !	Wed, 8/10/2022, 8:30 AM - 10:20 AM	CC-206
New Areas in Complex High-Dimensional Data Analysis — Invited Papers
International Indian Statistical Association, IMS, ENAR
Organizer(s): Debashis Mondal, Washington University in St. Louis
Chair(s): Debashis Mondal, Washington University in St. Louis
8:35 AM	Phylogenetically Informed Methods for Microbiome Data Analysis Julia Fukuyama, Indiana University, Bloomington
9:00 AM	Two-Sample Tests for Inhomogeneous Random Graphs Bhaswar Bhattacharya, University of Pennsylvania
9:25 AM	Scalable Estimation of Microbial Co-Occurrence Networks with Variational Autoencoders James Morton, National Institute of Child Health and Development; Justin Silverman , Pennsylvania State University; Gleb Tikhonov, University of Helsinki; Harri Lähdesmäki, University of Aalto; Richard Bonneau, Simons Foundation
9:50 AM	Multivariate, Heteroscedastic Empirical Bayes via Nonparametric Maximum Likelihood Presentation Bodhisattva Sen, Columbia University; Adityanand Guntuboyina, University of California Berkeley; Jake Soloff, University of California at Berkeley
10:15 AM	Floor Discussion

366 *	Wed, 8/10/2022, 8:30 AM - 10:20 AM	CC-204B
New Advances in Integrative Learning for Multi-Group and Multi-View Data — Invited Papers
ENAR, Section on Statistical Learning and Data Science, International Indian Statistical Association
Organizer(s): Arkaprava Roy, University of Florida
Chair(s): Arkaprava Roy, University of Florida
8:35 AM	Single-Cell Multi-Omic Integration Using Sparse Multi-View Non-Negative Matrix Factorization with Graph Regularization Dorothy DeMore Ellis, University of Florida; Susmita Datta, University of Florida; Arkaprava Roy, University of Florida
9:00 AM	Integrative Regression and Factorization of Multi-Omics Multi-Cohort Data Eric F Lock, University of Minnesota
9:25 AM	Sparse and Integrative Principal Component Analysis for Multi-View Data Luo Xiao, North Carolina State University; Lin Xiao, North Carolina State University
9:50 AM	Statistical Approaches for Integrative Learning for Neuroimaging Data Suprateek Kundu, The University of Texas at MD Anderson Cancer Center
10:15 AM	Floor Discussion

400 * !	Wed, 8/10/2022, 10:30 AM - 12:20 PM	CC-151B
Challenges and Opportunities for the Principled Calibration and QA/QC Assessments of AI and Machine Learning Methods Within Medical Device Applications — Invited Papers
Section on Medical Devices and Diagnostics, International Indian Statistical Association, American Medical Informatics Association
Organizer(s): Arvind Rao, University of Michigan
Chair(s): Ja-An Lin, Illumina Inc
10:35 AM	Validation of Machine Learning-Enabled Diagnostic Medical Devices: Statistical Challenges and Opportunities from a Regulatory Perspective Presentation Gene Anthony Pennello, Food and Drug Administration
10:55 AM	Quality Assessment of AI Tools in Radiology Arvind Rao, University of Michigan
11:15 AM	Advancing Regulatory Science for Medical Devices and Medical Software Through Collaboration Jithesh Veetil, PhD, MDIC
11:35 AM	Modifying Artificial Intelligence/Machine Learning-Based Software and the Algorithm Change Protocol Tarek Haddad, Medtronic Inc.; Donald Musgrove, Medtronic Inc.
11:55 AM	Discussant: Tracy Bergemann, Medtronic Plc
12:15 PM	Floor Discussion

418 * !	Wed, 8/10/2022, 10:30 AM - 12:20 PM	CC-206
Statistical Methods for Single Cell Genomics and Spatial Transcriptomics — Topic Contributed Papers
International Indian Statistical Association, Section on Statistics in Genomics and Genetics, Biometrics Section
Organizer(s): Satabdi Saha, Michigan State University
Chair(s): Vojtech Kejzlar, Skidmore College
10:35 AM	Joint Analyses of Single-Cell, Spatial Transcriptomic, and MERFISH Data for Mammalian Germ Cell Development Jun Li, University of Michigan
10:55 AM	Machine Learning for Modeling Dynamics in the Tumor Microenvironment Elham Azizi, Columbia University
11:15 AM	Statistical Analysis of Single Cell RNA Sequencing (ScRNA-Seq) Data Susmita Datta, University of Florida; Michael Sekula, University of Louisville; Jeremy Gaskins, University of Louisville
11:35 AM	Multiview Graph Learning for Single-Cell RNA Sequencing Data Satabdi Saha, Michigan State University; Abdullah Karaaslanli, Michigan State University; Selin Aviyente, Michigan State University; Tapabrata Maiti, Michigan State University
11:55 AM	Bayesian Analysis of Single-Nuclei Dose Response Data Samiran Sinha, Texas A&M University; Tapabrata Maiti, Michigan State University; Satabdi Saha, Michigan State University
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

462 * !	Wed, 8/10/2022, 2:00 PM - 3:50 PM	CC-144C
Spatio-Temporal Methods for Complex Data — Invited Papers
Royal Statistical Society, International Indian Statistical Association, Section on Statistics and the Environment
Organizer(s): Karthik Bharath, University of Nottingham
Chair(s): Shariq Mohammed, Boston University
2:05 PM	Variograms for Kriging and Clustering of Spatial Functional Data with Phase Variation Sebastian Kurtek, The Ohio State University; Xiaohan Guo, The Ohio State University; Karthik Bharath, University of Nottingham
2:30 PM	Principled Spatial Machine Learning with Random Forests and Gaussian Processes Abhi Datta, Johns Hopkins University; Arkajyoti Saha, University of Washington; Sumanta Basu, Cornell University
2:55 PM	A Bayesian Change Point Model to Identify Local Temperature Changes Related to Urbanization Candace Berrett, Brigham Young University; Brianne Gurney, Instat Clinical Research; David Arthur, Purdue University; Gustavious P Williams, Brigham Young University
3:20 PM	Discussant: Karthik Bharath, University of Nottingham
3:40 PM	Floor Discussion

477 * !	Wed, 8/10/2022, 2:00 PM - 3:50 PM	CC-158AB
Statistical Methods for New Age Marketing Problems — Topic Contributed Papers
Section on Statistics in Marketing, Business and Economic Statistics Section, International Indian Statistical Association
Organizer(s): Gourab Mukherjee, University of Southern California
Chair(s): Sharmistha Guha, Texas A&M University
2:05 PM	Joint Modeling of Playing Time and Purchase Propensity in Massively Multiplayer Online Role-Playing Games Trambak Banerjee, University of Kansas; Peng Liu, Santa Clara University; Gourab Mukherjee, University of Southern California; Shantanu Dutta, University of Southern California; Hai Che, University of California, Riverside
2:25 PM	Estimating Promotion Effects in Email Marketing Using a Large-Scale Cross-Classified Bayesian Joint Model Gourab Mukherjee, University of Southern California; Sabyasachi Mukhopadhyay, Indian Institute of Management; Wreetabrata Kar, Purdue University
2:45 PM	Understanding Early Adoption of Hybrid Cars via a New Multinomial Probit Model with Multiple Network Weights Bikram Karmakar, University of Florida; Ohjin Kwon, Central Connecticut State University; Gourab Mukherjee, University of Southern California; S Siddarth, University of Southern California
3:05 PM	Personalized Treatment Selection Using Causal Heterogeneity Kinjal Basu, LinkedIn Corporation
3:25 PM	Replication and Generalization in Consumer Psychology Blakeley B. McShane, Northwestern University
3:45 PM	Floor Discussion

223848	Wed, 8/10/2022, 5:30 PM - 7:00 PM	M-Dogwood
Memorial for Prof. Nozer Singpurwalla — Other ICW
Georgetown University, International Indian Statistical Association
Organizer(s): Subrata Kundu, George Washington University; Kimberly Sellers, Georgetown University

JSM 2022 Conference Program

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American Statistical Association