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
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
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
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