Name: 2021 Joint Statistical Meetings
Start: 2021-08-08T07:00:00+00:00
End: 2021-08-12

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Activity Details

3 * !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Data Privacy: Statisticians’ Perspective — Invited Papers
SSC (Statistical Society of Canada), Caucus for Women in Statistics, Section on Statistical Computing
Organizer(s): Bei Jiang, University of Alberta
Chair(s): Linglong Kong, University of Alberta
1:35 PM	Methods for Synthesizing Clinical Data Khaled El Emam, University of Ottawa; Lucy Mosquera, Replica Analytics Ltd.
2:00 PM	Understanding Risk Measures for Synthetic Data Sets Anne-Sophie Charest, Université Laval
2:25 PM	Disclosure Control for Microdata: A Mixture Modeling Approach Bei Jiang, University of Alberta; Adrian Raftery, University of Washington; Russell J. Steele, McGill University; Naisyin Wang, University of Michigan
2:50 PM	Discussant: Naisyin Wang, University of Michigan
3:10 PM	Floor Discussion

32 * !	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Statistical Answers to Astrophysical Questions: A Vital Chapter in the Chase for New Discoveries — Invited Papers
Section on Statistical Computing, Section on Physical and Engineering Sciences, Section on Nonparametric Statistics
Organizer(s): Sara Algeri, University of Minnesota
Chair(s): Sara Algeri, University of Minnesota
3:35 PM	Low-Hanging Fruit: Common Analysis Problems in Astronomy Without Statistically Principled Solutions Presentation Vinay L. Kashyap, Center for Astrophysics \| Harvard & Smithsonian
3:55 PM	Hide-and-Seek: Finding Earth Analogs Hidden in Extreme Precision Radial Velocity Spectra Jessi J. Cisewski-Kehe, University of Wisconsin-Madison
4:15 PM	Finding cosmic filament by the directional ridge finding algorithm Yikun Zhang, University of Washington, Seattle; Yen-Chi Chen, University of Washington
4:35 PM	Advances in statistical learning for new physics searches when either the signal or the background is unknown Mikael Kuusela, Carnegie Mellon University; Purvasha Chakravarti, Imperial College London; Larry Wasserman, Carnegie Mellon University; Jing Lei, Carnegie Mellon University; Tudor Manole, Carnegie Mellon University; Patrick Bryant, Carnegie Mellon University; John Alison, Carnegie Mellon University
4:55 PM	Discussant: David A van Dyk, Imperial College London
5:15 PM	Floor Discussion

40 *	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Time Series Analysis and Visualization — Invited Papers
Section on Statistical Graphics, Section on Statistical Computing
Organizer(s): Earo Wang, The Univeristy of Auckland
Chair(s): Emily Robinson, University of Nebraska–Lincoln
3:35 PM	Anomaly Detection in Spatio-Temporal Tensor Streams Priyanga Dilini Talagala, University of Moratuwa, Sri Lanka
4:00 PM	Visualizing Economic and Financial Market Trends in Volatile Times Leonard Carl Kiefer, Freddie Mac
4:25 PM	Conversations in Time: Interactive Visualization to Explore Structured Temporal Data Earo Wang, The Univeristy of Auckland
4:50 PM	Tangling Is Easy, Untangling Is Hard: Exploratory Data Analysis for Longitudinal Data Nicholas Tierney, Monash University; Dianne Cook, Monash University
5:15 PM	Floor Discussion

49 * !	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Recent Advances in Statistical Inference on Graphs — Topic-Contributed Papers
Section on Statistical Learning and Data Science, Section on Statistical Computing
Organizer(s): Lyndsay Shand, Sandia National Laboratories
Chair(s): Danny Ries, Sandia National Laboratories
3:35 PM	Bayesian Regression with Undirected Network Predictors with an Application to Brain Connectome Data Sharmistha Guha, Duke University; Abel Rodriguez, University of Washington
3:55 PM	Inferring Influence Networks from Longitudinal Bipartite Relational Data Presentation Frank Marrs, Los Alamos National Laboratory; Bailey K Fosdick, Colorado State University; Benjamin W Campbell, Cover My Meds; Skyler J Cranmer, The Ohio State University; Tobias Böhmelt, University of Essex
4:15 PM	A Deterministic Hitting-Time Moment Approach to Seed-Set Expansion Over a Graph Alexander Foss, Sandia National Laboratories
4:35 PM	Bayesian Graphical Modeling of Microbial Community Composition Kurtis Shuler, UCSC; Juhee Lee, University of California, Santa Cruz; Irene Chen, UCLA; Samuel Verbanic, UCLA
4:55 PM	A Latent Space Approach for Interdependent Ego-Networks with Application to Criminal Networks Isabella Gollini, University College Dublin; Paolo Campana, University of Cambridge; Alberto Caimo, Technological University Dublin
5:15 PM	Floor Discussion

75	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
SPEED: Data Challenge and SPAAC — Topic-Contributed Speed
Government Statistics Section, SPAA Committee, Section on Statistical Computing, Section on Statistical Graphics
Chair(s): Wendy Martinez, Bureau of Labor Statistics
10:05 AM	Determine the Factors That Drive Social Distancing During COVID-19 Pandemic Zijian Huang, University of Connecticut; Simiao Gao, University of Connecticut
10:10 AM	Predicting the Impacts of a Pandemic: An Analysis of the Relationship Between Social Vulnerability and COVID-19 in the United States Coby Warkentin, Miami University; Lydia Carter, Miami University; Thomas J Fisher, Miami University
10:15 AM	WITHRAWN: Identifying County Demographics Most Affected by COVID-19 Eric Christopher Browne, University of Denver; Isabel Osgood, University of Denver
10:20 AM	The Effects of COVID-19-Related State-Level Restrictions on National and State Unemployment Richard Griffiths, mGTI Statistics; Clayton Perry, Self; Chrystine Tadler, Self
10:25 AM	Predict COVID-19 Cases by County-Level Socio-Economics Indicators Yue Yu, University of Michigan; Shiying Wang, Georgetown University
10:30 AM	Are We All in the Same Boat? How COVID-19 Affected Central Ohio Residents Betsy Ehmcke, Ohio State University; Liz Whelan-Jackson, Mid-Ohio Regional Planning Commission
10:35 AM	State Space Assessment on the Impact of COVID-19 on Housing Security for Young Adults in the United States Mingzhao Hu, University of California Santa Barbara
10:40 AM	Anxiety Prediction Before and After the COVID-19 Pandemic Krista Wurscher, The Ohio State University; Yue Yu, The Ohio State University
10:45 AM	Promoting Environmental Justice While Recovering from COVID-19 Victoria Anderson, Esri; Brady Ross, Esri
10:50 AM	Prediction of Anxiety Due to COVID-19 Across States from 2020 to 2021 Yifan Lu, Southern Methodist University; Stephen Frantz, Southern Methodist University; Duwani Katumullage, Southern Methodist University; Hon Keung Tony Ng, Southern Methodist University; Lynne Stokes, Southern Methodist University
11:00 AM	The Effect of County-Level Socioeconomic and Health Care Inequality on COVID-19 Infection and Mortality in the Southern and Southeastern United States Webb Williams, Southern Methodist University; Jackson Paul Barth, Southern Methodist University; Guanqing Cheng, Southern Methodist University; Ming Zhang, Southern Methodist University; Hon Keung Tony Ng, Southern Methodist University; Lynne Stokes, Southern Methodist University
11:05 AM	Predictors of US Government Spending on COVID-19 Relief Henry Dorsey, Southern Methodist University; MaryLena Bleile, Southern Methodist University; Mingzhe Fang, Southern Methodist University; Austin Hung, Southern Methodist University; Hon Keung Tony Ng, Southern Methodist University; Lynne Stokes, Southern Methodist University
11:10 AM	Forecasting the Potential Impact of the COVID-19 Pandemic on Employment Opportunities in the North Carolina Textile Industry Using Time Series Models Lori Rothenberg, North Carolina State University; Sneha Rani, North Carolina State University; Helmut Hergeth, North Carolina State University; Lisa Chapman, North Carolina State University
11:15 AM	Measuring Systemic Risks and Inefficiency in Agriculture: The Indian Story Presentation Nimai Mehta, American University
11:20 AM	Estimation of Crash Type Frequencies on Individual Collector Roadway Segments Asif Mahmud, The Pennsylvania State University; Vikash V. Gayah, The Pennsylvania State University
11:25 AM	Bayesian Modeling of Spatial Transcriptomics Data via a Modified Ising Model Xi Jiang, Southern Methodist University; Qiwei Li, The University of Texas at Dallas; Guanghua Xiao, The University of Texas Southwestern Medical Center
11:30 AM	Gaussian Random Functional Dynamic Spatio-Temporal Modeling of Discrete-Time Spatial Time Series Data Presentation Suman Guha, Presidency University
11:35 AM	IVY Plots and Gaussian Interval Plots Jyotirmoy Sarkar, Indiana University-Purdue University Indianapolis; Mamunur Rashid, DePauw University
11:40 AM	Adaptive Enrichment Design with Multiple Interim Analysis for Clinical Trials with Biomarker Presentation Hao Zhang, Amgen Inc.; David Gold, Amgen Inc.

80 * !	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Sufficient Dimension Reduction and Applications — Topic-Contributed Papers
Section on Statistical Learning and Data Science, Section on Statistical Computing, Biometrics Section
Organizer(s): Ruth Pfeiffer, NCI-DCEG
Chair(s): Bin Zhu, National Cancer Institute
10:05 AM	Real-Time Sufficient Dimension Reduction Through Principal Least-Squares Support-Vector Machines Yuexiao Dong, Temple University; Andreas Artemiou, Cardiff University; Seung Jun Shin, Korea University
10:25 AM	Dimension Reduction for Multimodal Data Integration Xin Zhang, Florida State University
10:45 AM	Least Squares and Maximum Likelihood Estimation of Sufficient Reductions in Regressions with Matrix Valued Predictors Efstathia Bura, TU Wien; Daniel Kapla, TU Wien; Ruth Pfeiffer, NCI-DCEG
11:05 AM	PLS Regression Algorithms in the Presence of Nonlinearity Liliana Forzani, Universidad Nacional del Litoral; Dennis Cook, University of Minnesota
11:25 AM	Floor Discussion

84	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Advances in Spatio-Temporal Statistics with Applications to Environmental Data — Topic-Contributed Papers
Section on Statistics and the Environment, Section on Statistical Computing
Organizer(s): Marcin Jurek, University of Texas
Chair(s): Mitchell Krock, Rutgers University
10:05 AM	A Scalable Partitioned Approach to Model Massive Nonstationary Non-Gaussian Spatial Data Sets Jaewoo Park, Yonsei University; Ben Seiyon Lee, George Mason University
10:25 AM	A Negative Binomial Process Model of the 2020–2021 COVID-19 Epidemic in Rhode Island Nathan Wikle, Pennsylvania State University; Ephraim Hanks, Penn State University; Maciej Boni, Penn State University
10:45 AM	Deep Neural Network Estimation for Complex Spatial Processes Amanda Lenzi, Argonne National Laboratory
11:05 AM	Scalable Forward Sampler Backward Smoother Based on the Vecchia Approximation Marcin Jurek, University of Texas; Matthias Katzfuss, Texas A&M University; Pulong Ma, Duke University / SAMSI
11:25 AM	Statistical Issues in Uncertainty Quantification for Satellite-Based Carbon Flux Inversion Michael Stanley, Carnegie Mellon University; Mikael Kuusela, Carnegie Mellon University
11:45 AM	Floor Discussion

100	Mon, 8/9/2021, 12:00 PM - 1:20 PM	Virtual
Section on Statistical Computing P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Statistical Computing
ML11:	Statistical Computing While Statistics at a Crossroads Jun Yan, University of Connecticut

220763	Mon, 8/9/2021, 12:30 PM - 2:00 PM
Section of Statistical Computing Business Meeting (Closed) — Other Cmte/Business
Section on Statistical Computing
Chair(s): Usha Govindarajulu, Ichan School of Medicine at Mount Sinai

108 !	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
The 2021 Statistical Computing and Graphics Award — Invited Papers
Section on Statistical Computing, Section on Statistical Graphics
Organizer(s): David C. Hoaglin, University of Massachusetts Medical School
Chair(s): Pradeep Mohan, SAS Institute
1:35 PM	Graphs as Poetry Howard Wainer
2:00 PM	Data Visualization Through Time Catherine Durso, University of Denver
2:25 PM	Wainer's Wabbits and Other Tales David Thissen, University of North Carolina at Chapel Hill
2:50 PM	Data and Stories: Visual Revelations Presentation Richard De Veaux, Williams College
3:15 PM	Floor Discussion

109 *	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
Developing and Maintaining Open Source Resources for Statistics and Data Science Education — Invited Papers
Section on Statistics and Data Science Education, Caucus for Women in Statistics, Section on Statistical Computing, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Mine Cetinkaya-Rundel, University of Edinburgh, Duke University, RStudio
Chair(s): Maria Tackett, Duke University
1:35 PM	Teaching Data Science Authentically Using Open Source Educational Resources Tiffany Anne Timbers, University of British Columbia
2:00 PM	Creative Contributions and Activities for Student Engagement and Learning in Data Science Education Allison Horst, UC Santa Barbara
2:25 PM	OpenIntro: Building, Sustaining, Supporting, and Growing Open-Source Educational Resources Mine Cetinkaya-Rundel, University of Edinburgh, Duke University, RStudio
2:50 PM	Discussant: Stephanie C Hicks, Johns Hopkins Bloomberg School of Public Health
3:10 PM	Floor Discussion

134	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
Bayesian Modeling — Contributed Speed
Section on Statistical Computing
Chair(s): Suyash Gupta, Stanford University
1:35 PM	Lookahead Acquisition Functions for Finite-Budget, Time-Dependent Bayesian Optimization: Application to Quantum Optimal Control Ashwin Ashwin Renganathan, Argonne National Laboratory
1:40 PM	Efficient Bayesian Nonparametric Hazard Regression Matthias Kaeding, RWI - Leibniz Institute for Economic Research
1:45 PM	Variational Bayes for Fast Modeling in Large Longitudinal Data Sets David Hughes, University of Liverpool; Marta García-Fiñana, University of Liverpool; Matt Wand, University of Technology, Sydney
1:50 PM	Generalized Bayesian MARS: Robust, Quantile, and Flexible-Likelihood Regression Kellin Rumsey, Los Alamos National Laboratories; Devin Francom, Los Alamos National Laboratories; Andy Shen, Los Alamos National Laboratories
1:55 PM	Approximate Cross-Validated Mean Estimates for Bayesian Hierarchical Regression Models Amy Zhang, Penn State University; Le Bao, Pennsylvania State University; Michael J. Daniels, University of Florida
2:00 PM	Kernel Thinning Raaz Dwivedi, University of California, Berkeley; Lester Mackey, Microsoft Research New England
2:05 PM	Some Characteristics of Regression Models Fitted Using the LINEX Loss Function J M Thilini Navoda Jayasinghe, Texas Tech University; Leif Ellingson, Texas Tech University
2:10 PM	Quantile Regression on COVID-19 Andrew Kenig, Brock University; Mei Ling Huang, Brock University
2:15 PM	Mass-Enhanced Hamiltonian Monte Carlo with Sequential Proposals for Multimodal Target Distributions Joonha Park, University of Kansas
2:20 PM	Simulation Run Length Control with Super-optimal Long-run Variance Estimators: a Tale of Two Communities Presentation Man Fung Leung, The Chinese University of Hong Kong; Kin Wai Chan, The Chinese University of Hong Kong
2:30 PM	Training Graph Convolutional Networks with Fast Monte Carlo Tianning Xu, University of Illinois Urbana-Champaign; Yifan Chen, University of Illinois at Urbana-Champaign
2:35 PM	Estimation of Regression Models with Long Memory Errors Kyungduk Ko, Boise State University
2:40 PM	Modeling Non-Normal Data Using a Family of Mixture Polynomial Based on Quantile Function of Hyperbolic Secant Distribution Mohan Dev Pant, Eastern Virginia Medical School
2:45 PM	A High Dimensional Mixture Model: A Mixture Multivariate Probabilistic Model Mian Arif Shams Adnan, Bowling Green State University
2:50 PM	Numerical Approximation of the Marginal Likelihood of Random Effect Model for Clustered Bivariate Binary Outcomes Edmund Essah Ameyaw, Howard University; John Essah Kwagyan, Howard University
2:55 PM	A Bayesian Nonparametric Regression with Multiple Periodic Predictors Duchwan Ryu, Northern Illinois University; Alan M. Polansky, Northern Illinois University; Devrim Bilgili, University of North Florida
3:00 PM	Scalable Bayesian Optimization Using Ordered Conditional Approximations of Gaussian Processes Felix Jimenez, Texas A&M University; Matthias Katzfuss, Texas A&M University
3:05 PM	Computational Results from Portfolio Cut Simulations Bernard Lee, HedgeSPA Pte. Ltd.; Emma Carney, Stanford University; Tony Constantinides, Department of Electrical & Electronic Engineering, Imperial College London

3:10 PM	Floor Discussion

220762	Mon, 8/9/2021, 6:00 PM - 8:00 PM
Joint Sections of Statistical Computing and Graphics Mixer — Other Cmte/Business
Section on Statistical Computing, Section on Statistical Graphics
Chair(s): Usha Govindarajulu, Ichan School of Medicine at Mount Sinai
To join this virtual event you must register in advance: CLICK HERE TO REGISTER After registering, you will receive a confirmation email containing information about joining the event. Please contact Usha Govindarajulu usha@bu.edu for questions.

146 !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Statistical Reinforcement Learning — Invited Papers
Section on Statistical Computing, Section on Statistical Learning and Data Science, International Chinese Statistical Association
Organizer(s): Will Wei Sun, Purdue University
Chair(s): Emma Jingfei Zhang, University of Miami
10:05 AM	Bootstrapping Statistical Inference for Off-Policy Evaluation Mengdi Wang, Princeton University
10:30 AM	Statistical Inference of the Value Function for Reinforcement Learning in Infinite Horizon Settings Rui Song, North Carolina State University
10:55 AM	Distribution-Free Contextual Dynamic Pricing Yiyun Luo, University of North Carolina at Chapel Hill; Will Wei Sun, Purdue University; Yufeng Liu, University of North Carolina at Chapel Hill
11:20 AM	On Efficiency in Hierarchical Reinforcement Learning Zheng Wen, DeepMind
11:45 AM	Floor Discussion

197 * !	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
New Methods for Scalable Nonstationary Spatial Statistics — Topic-Contributed Papers
Section on Statistics and the Environment, Section on Physical and Engineering Sciences, Section on Statistical Computing
Organizer(s): Matthias Katzfuss, Texas A&M University
Chair(s): Marcin Jurek, University of Texas
1:35 PM	Geostatistics Meets Variable Selection: Multi-Scale Models for Nonstationary Spatial Fields Bruno Sansó , University of California, Santa Cruz; Daniel Kirsner, Chase Bank
1:55 PM	Modeling Massive Multivariate Spatial Data with the Basis Graphical Lasso William Kleiber, University of Colorado Boulder; Mitchell Krock, Rutgers University; Dorit Hammerling, Colorado School of Mines
2:15 PM	Scalable Bayesian Transport Maps for High-Dimensional Non-Gaussian Spatial Fields Matthias Katzfuss, Texas A&M University; Florian Schaefer, Caltech
2:35 PM	Non-Homogeneous Poisson Process Intensity Modeling and Estimation Using Measure Transport Tin Lok James Ng, Trinity College Dublin; Andrew Zammit-Mangion, University of Wollongong
2:55 PM	Discussant: Emily Kang, University of Cincinnati
3:15 PM	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

246	Wed, 8/11/2021, 10:00 AM - 11:50 AM	Virtual
Data Science — Contributed Speed
Section on Statistical Computing, Text Analysis Interest Group
Chair(s): Catherine Durso, University of Denver
10:05 AM	Extensions to the Syrjala Test with Eye-Tracking Data Analysis Applications Presentation Eric D. McKinney, Utah State University; Jürgen Symanzik, Utah State University
10:10 AM	Smooth Ridge Model for Computer Experiments Asma Farid, QUEEN MARY UNIVERSITY OF LONDON
10:15 AM	A Sequential Discrimination Procedure for Two Almost Identically Shaped Real Distributions Silvey Shamsi, Ball State University; Mian Arif Shams Adnan, Bowling Green State University
10:20 AM	Missing Value Estimation for High-Dimensional Data Mian Arif Shams Adnan, Bowling Green State University; Silvia Irin Sharna, Bowling Green State University
10:25 AM	From Research to Deployment and Back: A Computational Framework for Reproducibility and Replicability from Industry Presentation Sergiy O Nesterko, Fidelity Investments
10:30 AM	Creating a Data-Driven Taxonomy Randall Powers, Bureau of Labor Statistics; Wendy Martinez, Bureau of Labor Statistics; Terrance Savitsky, Bureau of Labor Statistics
10:35 AM	Statistical Analysis on Factors Influencing Life Expectancy Meichen Huang, The University of Texas at Dallas; Akash Roy, Duke University
10:40 AM	The Delta-Spherical Dirichlet Distribution and Applications JOSE H GUARDIOLA, Texas A&M University Corpus Christi
10:45 AM	Optimized Data Discretization Rita Chattopadhyay, Intel Corp
10:50 AM	Discriminant Analysis Using Quantile Classifier for Corrupted Label Data Masaaki Okabe, Doshisha University; Hiroshi Yadohisa, Doshisha University
11:00 AM	Finite Mixture of Birnbaum-Saunders Distributions Using the K-Bumps Algorithm Luis Benites, Pontificia Universidad Católica del Perú; Rocío Maehara, Universidad del Pacífico; Filidor Vilca, Universidade Estadual de Campinas; Fernando Marmolejo-Ramos, University of South Australia, Adelaide, Australia
11:05 AM	Fast Model Order Identification for Big Time Series Data Presentation Brian Guangshi Wu, Oakland University; Dorin Drignei, Oakland University
11:10 AM	Novel Modeling of High-Frequency Stock Trading Data Yuying Huang, University of Victoria; Ke Xu, University of Victoria; Xuekui Zhang, University of Victoria; Li Xing, University of Saskatchewan
11:15 AM	Fused Mean Structure Learning in Data Integration with Dependence Emily C Hector, North Carolina State University
11:20 AM	Backfitting for Large-Scale Binary Regressions with Crossed Random Effects Swarnadip Ghosh, STANFORD UNIVERSITY; Trevor JOHN Hastie, STANFORD UNIVERSITY; Art Owen, Stanford University
11:25 AM	On the Final Solution of the Jeffreys-Lindley Paradox Presentation Miodrag Lovric, Radford University
11:30 AM	Sample size determination for stepped-wedge cluster randomized trials with imbalance enrollment using a Shiny app Zhuopei Hu, University or Arkansas for Medical Sciences; Ruofei Du, University or Arkansas for Medical Sciences; Songthip T Ounpraseuth, University or Arkansas for Medical Sciences
11:35 AM	Network Visualization and Analysis on T and B Cell Receptors from SARS-CoV-2 Patients Hai Yang, UCSF; Li Zhang, UCSF; Zenghua Fan, UCSF; Tao He, San Francisco State University; Lawrence Fong, UCSF

266 * !	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
Recent Advances in Statistical Network Analysis with Applications — Invited Papers
Section on Statistical Graphics, Section on Statistical Learning and Data Science, Section on Statistical Computing
Organizer(s): Ji Zhu, University of Michigan
Chair(s): Ji Zhu, University of Michigan
1:35 PM	On Scalable Estimation for Overlapping Clustering Models Purnamrita Sarkar, University of Texas, Austin; Deepayan Chakrabarti, University of Texas at Austin
2:00 PM	Mixed-Effect Time-Varying Network Model Emma Jingfei Zhang, University of Miami; Will Wei Sun, Purdue University; Lexin Li, University of California, Berkeley
2:25 PM	Linear Regression and Its Inference on Noisy Network-Linked Data Can M Le, University of California, Davis; Tianxi Li, University of Virginia
2:50 PM	Causal Inference for Contagious Processes on Networks Forrest W. Crawford, Yale University
3:15 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

292 !	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Inferential Thinking in a Machine Learning World — Invited Papers
Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, Section on Statistical Computing
Organizer(s): Lucas Mentch, University of Pittsburgh
Chair(s): Lucas Mentch, University of Pittsburgh
3:35 PM	Why Random Forests Work and Why That’s a Problem Siyu Zhou, University of Pittsburgh; Lucas Mentch, University of Pittsburgh
4:00 PM	A Semiparametric Approach to Variable Importance with Multiple Testing Corrections Aaditya K Ramdas, Carnegie Mellon University
4:25 PM	Recent Advances in Applying Floodgate to High-Dimensional Inference Presentation Lucas Janson, Harvard University; Lu Zhang, Harvard University
4:50 PM	Variable Importance, Cohort Shapley Value, and Redlining Art Owen, Stanford University; Masayoshi Mase, Hitachi, Ltd; Ben Seiler, Stanford University
5:15 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

5:15 PM	Floor Discussion

311	Wed, 8/11/2021, 3:30 PM - 5:20 PM
Inference, Prediction, and Statistical Learning for Functional Data — Topic-Contributed Papers

5:15 PM	Floor Discussion

313 * !	Wed, 8/11/2021, 3:30 PM - 5:20 PM
Recent Advances in Symbolic Data Analysis — Topic-Contributed Papers

4:55 PM	Floor Discussion

321	Wed, 8/11/2021, 3:30 PM - 5:20 PM
Machine Learning and Variable Selection — Contributed Speed

344	Thu, 8/12/2021, 10:00 AM - 11:50 AM
Student Paper Award and John M. Chambers Statistical Software Award — Topic-Contributed Papers

11:45 AM	Floor Discussion

362 * !	Thu, 8/12/2021, 12:00 PM - 1:50 PM
What Can Statistical Graphics Speak to Us About Deep Learning and Complex Models? — Invited Papers

1:40 PM	Floor Discussion

387	Thu, 8/12/2021, 12:00 PM - 1:50 PM
Software — Contributed Speed

389 * !	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Words and Insights via Text Analysis — Invited Papers
JSM Partner Societies
Organizer(s): TBD TBD, TBD
Chair(s): TBD TBD, TBD
3:05 PM	TESTING VIRTUAL LOGIN Ima Testrecord, ASA
3:45 PM	Discussant: Nick Malczewsky, BAV
3:45 PM	Floor Discussion

402 !	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Integrative Inference with Data from Multiple Sources: Challenges and New Developments — Topic-Contributed Papers
University of Michigan
Organizer(s): Fatma Nedjari, University of Michigan
3:45 PM	Floor Discussion

427 * !	Thu, 8/12/2021, 4:00 PM - 5:50 PM
Toward Objective, Reproducible, and Scalable Digital Phenotyping Using Smartphones — Invited Papers

5:45 PM	Floor Discussion

JSM 2021 Online Program

Activity Details

American Statistical Association