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

223649	Sun, 8/7/2022, 7:00 PM - 8:30 PM	M-Mint
Significance/Royal Statistical Society Drinks Reception — Other ICW
Royal Statistical Society
Organizer(s): Brian Tarran, Royal Statistical Society

179 * !	Mon, 8/8/2022, 2:00 PM - 3:50 PM	CC-152B
Data Science and the Future of Statistics Organizations — Invited Panel
IMS, Royal Statistical Society, Committee on Membership Retention and Recruitment
Organizer(s): Will Eagan, Vertex Pharmaceuticals
Chair(s): Xiao-Li Meng, Harvard University
2:05 PM	Data Science and the Future of Statistical Organizations
Panelists:	David Ian Ohlssen, Novartis Liberty Vittert, Washington University in St. Louis Patrick Wolfe, Purdue University Aleksandrina Goeva, Broad Institute of MIT and Harvard Theresa Utlaut, Intel Corporation
3:40 PM	Floor Discussion

194 * !	Mon, 8/8/2022, 2:00 PM - 3:50 PM	CC-144C
Time Series in Federal Statistics — Topic Contributed Papers
Government Statistics Section, Business and Economic Statistics Section, Royal Statistical Society
Organizer(s): James Livsey, US Census Bureau
Chair(s): James Livsey, US Census Bureau
2:05 PM	Business Cycle Fluctuations in the U.S. Real GDP and NIPA Aggregates Presentation Baoline Chen, Bureau of Economic Analysis; Kyle Hood, U.S. Bureau of Economic Analysis; Tucker McElroy, U.S. Census Bureau; Thomas Trimbur, U.S. Census Bureau
2:25 PM	The Dark Side of the Moon: Searching for the Other Half of Seasonality Gary Joseph Cornwall, Bureau of Economic Analysis; Jeffrey Chen, Bennett Institute for Public Policy: University of Cambridge
2:45 PM	An Empirical Look at Multivariate Signal Extraction for the U.S. Census Bureau's M3 Survey Osbert Pang, U.S. Census Bureau
3:05 PM	Modeling Weather Effects and Seasonal Heteroskedasticity in U.S. Monthly Regional Housing Starts William Robert Bell, U.S. Census Bureau
3:25 PM	Seasonal Adjustment and Trend Estimates Under COVID – How Will We Identify a “New Normal” When it Occurs Richard Penny, Statistics New Zealand
3:45 PM	Floor Discussion

237	Tue, 8/9/2022, 8:30 AM - 10:20 AM	CC-203AB
Graphical Models and Causality in Extremes — Topic Contributed Papers
Section on Risk Analysis, Royal Statistical Society, IMS
Organizer(s): Chen Zhou, Erasmus University Rotterdam
Chair(s): Natalia Nolde, University of British Columbia
8:35 AM	Total Positivity in Multivariate Extremes Piotr Zwiernik, University of Toronto; Frank Röttger, Université de Genève; Sebastian Engelke, Université de Genève
8:55 AM	Penalization-Based Inference for Extremal Graphical Models Presentation Michael Lalancette, University of Toronto; Sebastian Engelke, Université de Genève; Stanislav Volgushev, University of Toronto
9:15 AM	Fast Algorithm for Extreme Graphical Models Chen Zhou, Erasmus University Rotterdam; Phyllis Wan, Erasmus University Rotterdam
9:35 AM	Causal Structure Learning in Heavy-Tailed Models Nicola Gnecco, University of Geneva; Sebastian Engelke, Université de Genève; Simon Chatelain, University of Geneva; Stanislav Volgushev, University of Toronto
9:55 AM	Discussant: Sebastian Engelke, Université de Genève
10:15 AM	Floor Discussion

321	Tue, 8/9/2022, 2:00 PM - 3:50 PM	CC-144C
Nonparametric Inference Under Shape Constraints — Topic Contributed Papers
IMS, Section on Nonparametric Statistics, Royal Statistical Society
Organizer(s): Richard J Samworth, University of Cambridge
Chair(s): Richard J Samworth, University of Cambridge
2:05 PM	A Non-Asymptotic Framework for Approximate Message Passing in Spiked Models Presentation Yuting Wei , University of Pennsylvania
2:25 PM	Noisy Linear Inverse Problems Under Convex Constraints: Exact Risk Asymptotics in High Dimensions Qiyang Han, Rutgers University
2:45 PM	Nonparametric Tuning-Free Estimation of S-Shaped Functions Oliver Feng, University of Cambridge; Yining Chen, London School of Economics; Qiyang Han, Rutgers University; Raymond J. Carroll, Texas A&M University; Richard J Samworth, University of Cambridge
3:05 PM	Nonparametric Doubly Robust Testing for Continuous Treatment Effects via Smoothness and via Shape Constraints Charles Doss, University of Minnesota; Guangwei Weng, University of Minnesota; Lan Wang, University of Miami
3:25 PM	Convergence Rates for Estimating Multivariate Scale Mixtures of Uniform Densities Adityanand Guntuboyina, University of California Berkeley
3:45 PM	Floor Discussion

432	Wed, 8/10/2022, 10:30 AM - 12:20 PM	CC-Hall D
Contributed Poster Presentations: Royal Statistical Society — Contributed Poster Presentations
Royal Statistical Society
Chair(s): Gyuhyeong Goh, Kansas State University
12:	Modeling the Large and Dynamically Growing Bipartite Network of German Patents and Inventors Cornelius Fritz, LMU Munich ; Göran Kauermann, LMU Munich; Giacomo De Nicola , LMU Munich; Sevag Kevork, LMU Munich; Dietmar Harhoff, Max Planck Institute for Innovation and Competition
13:	Traffic Risk Mapping Using Enhanced Stochastic Partial Differential Equations (SPDE) Approach Somnath Chaudhuri, University of Girona, Spain and CIBERESP; Pablo Juan, University Jaume I, Spain; Diego Varga, University of Girona, Spain and CIBERESP; Maria A Barceló, University of Girona, Spain and CIBERESP; Marc Saez, University of Girona, Spain and CIBERESP
14:	O(N) Approximate Bayesian Gaussian Process Regression Kelly R Moran, Los Alamos National Laboratory

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

533 !	Thu, 8/11/2022, 10:30 AM - 12:20 PM	CC-207A
Prediction and Inference in Statistical Machine Learning — Invited Papers
IMS, Royal Statistical Society, ENAR
Organizer(s): Tracy Ke, Harvard University
Chair(s): Lucas Janson, Harvard University
10:35 AM	Statistical Inference After Adaptive Sampling for Longitudinal Data Kelly Wang Zhang, Harvard University; Lucas Janson, Harvard University; Susan Murphy, Harvard University
11:00 AM	Optimal Estimation of Network Mixed Memberships Tracy Ke, Harvard University
11:25 AM	WITHDRAWN Adaptive Conformal Inference Under Distribution Shift Emmanuel Candès, Stanford University; Isaac Gibbs, Stanford University
11:50 AM	Understanding Deep Q-Learning Jianqing Fan, Princeton University; Zhaoran Wang, Northwestern University; Yuchen Xie, Northwestern University; Zhuoran Yang, Yale University
12:15 PM	Floor Discussion

JSM 2022 Conference Program

Activity Details

American Statistical Association