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
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