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

8 !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Geometric Statistics for Complex Data — Invited Papers
Royal Statistical Society, International Indian Statistical Association, Section on Statistics in Imaging
Organizer(s): Karthik Bharath, University of Nottingham; Sebastian Kurtek, The Ohio State University
Chair(s): Sebastian Kurtek, The Ohio State University
1:35 PM	Riemannian Structure on the Space of Measure Networks Tom Needham, Florida State University; Samir Chowdhury, Stanford University
2:00 PM	The Shape Space of Functional Data Karthik Bharath, University of Nottingham; Ian H Jermyn, Durham University
2:25 PM	Graph-Valued Models for Dimensionality Reduction and Regression Aasa Feragen, Technical University of Denmark; Anna Calissano, Inria
2:50 PM	Statistical shape analysis of elastic graphs Presentation Aditi Basu Bal, Florida State University
3:15 PM	Floor Discussion

31 !	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Recent Developments in Learning Across Environments — Invited Papers
IMS, International Indian Statistical Association, Section on Statistical Learning and Data Science, Caucus for Women in Statistics
Organizer(s): Moulinath Banerjee, University of Michigan
Chair(s): Bodhisattva Sen, Columbia University
3:35 PM	Adaptive Transfer Learning Richard J. Samworth, University of Cambridge; Henry Reeve, Bristol University; Timothy Cannings, University of Edinburgh
4:00 PM	Some Recent Insights on Transfer-Learning Samory K. Kpotufe, Columbia University
4:25 PM	There Is No Trade-Off: Enforcing Fairness Can Improve Accuracy Yuekai Sun, University of Michigan
4:50 PM	Discussant: Moulinath Banerjee, University of Michigan
5:10 PM	Floor Discussion

36 * !	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Spatial and Spatio-Temporal Modeling of the Demographic and Economic Data — Invited Papers
Business and Economic Statistics Section, International Indian Statistical Association, Government Statistics Section
Organizer(s): Soutir Bandyopadhyay, Colorado School of Mines
Chair(s): Soumendra Lahiri, Washington University
3:35 PM	Joint Bayesian Analysis of Multiple Response Types Using the Hierarchical Generalized Transformation Model Jonathan R Bradley, Florida State University
3:55 PM	Spatial Analysis and Modeling of Urbanization-Related Population and Land Use Dynamics Jing Gao, University of Delaware
4:15 PM	Tensor-Based Anomaly Detection from Large Spatio-Temporal Data Taps Maiti, Michigan State University; Peide Li, Michigan State University
4:35 PM	Advantages of Model Misspecification for Block Data Soutir Bandyopadhyay, Colorado School of Mines; Douglas Nychka, Colorado School of Mines; Peter Simonson, CACI-BITS systems
4:55 PM	Discussant: Douglas Nychka, Colorado School of Mines
5:15 PM	Floor Discussion

48 * !	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Academics Industry Perspectives on Cancer Data Innovations: Simultaneous Inference, Inconsistency, and Clinical Response — Topic-Contributed Papers
Biometrics Section, International Indian Statistical Association, Section on Statistics in Genomics and Genetics
Organizer(s): Arnab Kumar Maity, Pfizer
Chair(s): Arnab Kumar Maity, Pfizer
3:35 PM	Estimating Clinical Response Rate in Biomarker-Guided Oncology Studies Using Preclinical Data Shibing Deng, Pfizer, Inc; Feng Liu, Pfizer, Inc; Jadwiga Bienkowska, Pfizer. Inc
3:55 PM	Cure Models with Adaptive Activation for Modeling Cancer Survival Sanjib Basu, University of Illinois Chicago
4:15 PM	Bayesian Nonlinear EM Based Approach for Analysis of Multi-Platform Genomics Data sounak chakraborty, University of Missouri-Columbia
4:35 PM	An Approximate Bayes Factor-Based MANOVA Test Using Random Projection with Application in Cancer Genomics Roger Zoh, Indiana University
4:55 PM	Inconsistency of Model Specifications in Generalized Linear Models Changyong Feng, University of Rochester; Hongyue Wang, University of Rochester; Laurent Glance, University of Rochester; Xin Tu, University of California, San Diego
5:15 PM	Floor Discussion

113	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
Nonlinear and Nonstationary Dependent Processes: Modeling, Inference, and Applications — Invited Papers
Business and Economic Statistics Section, IMS, International Indian Statistical Association
Organizer(s): Soumendra Lahiri, Washington University
Chair(s): Soutir Bandyopadhyay, Colorado School of Mines
1:35 PM	Inference and Prediction for Quadratic Processes Tucker Sprague McElroy, US Census Bureau; Dhrubajyoti Ghosh, Washington University; Soumendra Lahiri, Washington University
2:00 PM	Polyspectral Mean Estimation of General Nonlinear Processes Presentation Dhrubajyoti Ghosh, Washington University; Tucker Sprague McElroy, US Census Bureau; Soumendra Lahiri, Washington University
2:25 PM	A Bayesian Framework for Modeling Outliers in Time Series in Post COVID-19 Era Anindya Roy, U.S. Census Bureau/ UMBC; Tucker Sprague McElroy, US Census Bureau
2:50 PM	Locally Stationary Spatial Processes Soumendra Lahiri, Washington University; Tucker Sprague McElroy, US Census Bureau; Daniel Census Weinberg, US Census Bureau
3:15 PM	Floor Discussion

122 * !	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
Using Story to Lead Change — Topic-Contributed Papers
International Indian Statistical Association, Caucus for Women in Statistics, Committee on Women in Statistics, History of Statistics Interest Group
Organizer(s): Amanda L Golbeck, UAMS
Chair(s): Jaya Satagopan, Rutgers University
1:35 PM	The Power of Narrative as a Tool for Change Brian A Millen, Eli Lilly and Company
1:55 PM	Reshaping the Opportunity Structure for Equitable Leadership in Statistics and Data Science Emma Benn, Icahn School of Medicine at Mount Sinai
2:15 PM	Conveying Statistical Results Through Stories Jessica Utts, University of California, Irvine
2:35 PM	Big Telescopes: A Closer Look at Elizabeth L. Scott’s Iconic Story Amanda L Golbeck, UAMS
2:55 PM	Discussant: Bhramar Mukherjee, University of Michigan
12:15 PM	Floor Discussion

145 !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Trend Filtering and Related Regression Methods — Invited Papers
IMS, International Indian Statistical Association, Section on Nonparametric Statistics
Organizer(s): Sabyasachi Chatterjee, University of Illinois at Urbana-Champaign
Chair(s): Anamitra Chaudhuri, University of Illinois at Urbana-Champaign
10:05 AM	Adaptive Online Forecasting of Trends Yu-Xiang Wang, UC Santa Barbara
10:30 AM	MARS via LASSO Dohyeong Ki; Billy Fang, Google; Adityanand Guntuboyina, UC Berkeley
10:55 AM	Adaptive Risk Bounds for Quantile Trend Filtering Oscar Madrid Padilla, University of California, Los Angeles
11:20 AM	Dyadic CART Revisited Sabyasachi Chatterjee, University of Illinois at Urbana-Champaign
11:45 AM	Floor Discussion

149 * !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Recent Advances in Statistical Methods for Microbiome Data — Invited Papers
International Indian Statistical Association, Section on Statistics in Genomics and Genetics, ENAR
Organizer(s): Subharup Guha, University of Florida
Chair(s): Subharup Guha, University of Florida
10:05 AM	Bioinformatics Pre-Processing of Microbiome Data with an Application to Metagenomic Forensics SOMNATH DATTA, University of Florida; Samuel Anyaso-Samuel, University of Florida; Archie Sachdeva, University of Florida; Subharup Guha, University of Florida
10:30 AM	Feature Selection for Microbiome Studies in the Presence of Confounding Using Standardization Emily Goren, Iowa State University; Chong Wang, Iowa State University; Peng Liu, Iowa State University
10:55 AM	Dirichlet-Multinomial Regression Models with Bayesian Variable Selection for Microbiome Data Marina Vannucci, Rice
11:20 AM	Generalized Matrix Decomposition for Exploration, Estimation, and Inference in Two-Way Structured Data Timothy Randolph, Fred Hutch Cancer Research Center; Ali Shojaie, University of Washington; Yue Wang, Arizona State University ; Jing Ma, Fred Hutchinson Cancer Research Center
11:45 AM	Floor Discussion

194 * !	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
Building and Implementing an Effective Quantitative Sciences Internship Program for Undergraduate Students — Invited Panel
Section on Statistical Consulting, International Indian Statistical Association, Section on Statistics and Data Science Education, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Kay See Tan, Memorial Sloan Kettering Cancer Center
Chair(s): Sujata Patil, Cleveland Clinic
1:35 PM	Building and Implementing an Effective Quantitative Sciences Internship Program for Undergraduate Students
Panelists:	Kay See Tan, Memorial Sloan Kettering Cancer Center Justine Herrera, Columbia University Nathan Tintle, Dordt University Heather Mattie, Harvard University Alisa Stephens-Shields, University of Pennsylvania
3:15 PM	Floor Discussion

265 !	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
Recent Advances in Statistical Network Analysis — Invited Papers
International Indian Statistical Association, IMS, Section on Statistical Learning and Data Science
Organizer(s): Sumit Mukherjee, Columbia University
Chair(s): Sumit Mukherjee, Columbia University
1:35 PM	Accounting for Network Noise: Counting, Experimenting, and Epidemic Control Eric Kolaczyk, Boston University
2:05 PM	Long-Range Dependence in Evolving Network Models Shankar Bhamidi, University of North Carolina
2:35 PM	Motif Estimation via Subgraph Sampling: The Fourth-Moment Phenomenon Bhaswar Bikram Bhattacharya, Department of Statistics, University of Pennsylvania; Sayan Das, Departments of Mathematics, Columbia University; Sumit Mukherjee, Columbia University
3:05 PM	Floor Discussion

267 * !	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
Statistical Methods for Large Spatial Data — Invited Papers
Section on Statistical Computing, International Indian Statistical Association, Section on Statistics and the Environment
Organizer(s): Shariq Mohammed, University of Michigan; Arvind Rao, University of Michigan
Chair(s): Shariq Mohammed, University of Michigan
1:35 PM	Spatial Calibration of a Computer Model with Application to Wind Energy Veronica J Berrocal, University of California, Irvine
2:00 PM	Graphical Gaussian Processes for Highly Multivariate Spatial Data Abhirup Datta, Johns Hopkins University
2:25 PM	Valid Model-Free Spatial Prediction Brian Reich, North Carolina State University; Ryan James Martin, North Carolina State University; Huiying James Mao, North Carolina State University
2:50 PM	Discussant: Ansu Chatterjee, University of Minnesota
3:15 PM	Floor Discussion

273 * !	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
Statistical Methods for Causal Inference and Personalized Medicine Based on Observational Data — Topic-Contributed Papers
ENAR, International Chinese Statistical Association, International Indian Statistical Association
Organizer(s): Maiying Kong, University of Louisville
Chair(s): Mark Meyer, Georgetown University
1:35 PM	Estimation of Average Treatment Effects Among Multiple Treatment Groups by Using an Ensemble Approach Maiying Kong, University of Louisville
1:55 PM	A Multiple Robust Propensity Score Method for Longitudinal Analysis with Intermittent Missing Data Ming Wang, Penn State Milton S Hershey Medical Center; Chixiang Chen, University of Pennsylvania; Biyi Shen, Penn State Milton S Hershey Medical Center; Rongling Wu, Penn State Milton S Hershey Medical Center; Aiyi Liu, National Institute of Child Health and Human Development
2:15 PM	Personalized Treatment Selection Using Observational Data Presentation Sudaraka Tholkage, University of Louisville; KB Kulasekara, University of Louisville; Maiying Kong, University of Louisville
2:35 PM	Weighted ?^2 Test and F Test for Multiple Group Comparisons in Observational Studies Xiaofang Yan, Medpace, Inc.; Qi Zheng, University of Louisville; Maiying Kong, University of Louisville
2:55 PM	Optimal Personalized Treatment Selection with Multiple Outcomes Susmita Datta, University of Florida
3:15 PM	Floor Discussion

305 * !	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Technical and Transferable Skills to Get Hired and Flourish in the Industry/Government — Invited Panel
Section on Statistical Computing, Section on Statistical Graphics, International Indian Statistical Association
Organizer(s): Pradeep Mohan, SAS Institute
Chair(s): Arvind Rao, University of Michigan
3:35 PM	Technical and Transferable Skills to Get Hired and Flourish in Industry/Government
Panelists:	Pradeep Mohan, SAS Institute Amit Bhattacharya, Alexion Pharmaceuticals Fang Chen, SAS Institute Inc. Tim Hesterberg, Google Amy Xia, Amgen
5:15 PM	Floor Discussion

333 * !	Thu, 8/12/2021, 10:00 AM - 11:50 AM	Virtual
Recent Developments in Network Inference Methods — Invited Papers
IMS, International Indian Statistical Association, Section on Statistical Learning and Data Science
Organizer(s): Dr. Shirshendu Chatterjee, City University of New York
Chair(s): Dr. Shirshendu Chatterjee, City University of New York
10:05 AM	Bootstrap for Networks: From Parametric to Nonparametric Approaches Liza Levina, University of Michigan
10:30 AM	Identifying Heterogeneous Temporal Structure from Multiple Network Time Series Carey E Priebe, Johns Hopkins University; Guodong Chen, Johns Hopkins University; Jonathan Larson, Microsoft Research; Weiwei Yang, Mocrosoft Research; Christopher White, Microsoft Research; Joshua Vogelstein, Johns Hopkins University; Youngser Park, Johns Hopkins University
10:55 AM	Statistical Inference for Networks with Dependent Edges Sharmodeep Bhattacharyya, Oregon State University; Dr. Shirshendu Chatterjee, City University of New York; Soumendu Sundar Mukherjee, Indian Statistical Institute
11:20 AM	Hierarchical stochastic block model for multiplex networks Arash A. Amini, UCLA
11:45 AM	Floor Discussion

JSM 2021 Online Program

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