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Gearing Up for JSM 2023

1 May 2023 943 views No Comment

Get your passports ready and plan to head to Toronto, Ontario, Canada, August 5–10 for the statistical event of the year—the Joint Statistical Meetings.

With a focus on the 2023 theme, One Community: Informing Decisions and Driving Discovery, the JSM program consists of invited, topic-contributed, and contributed technical sessions, as well as poster presentations, roundtable discussions, professional development courses and workshops, award ceremonies, and countless other meetings and activities.

Here are the featured speakers.

Featured Speakers

ASA President’s Invited Address
Robert Santos, US Census Bureau
Monday, August 7, 4 p.m.

Deming Lecture
Malay Ghosh, University of Florida
Small Area Estimation: A Personal Perspective
Tuesday, August 8, 4 p.m.

ASA President’s Address
Dionne Price, US Food and Drug Administration
Tuesday, August 8, 8 p.m.

Don’t Miss These Additional Lectures

IMS Lawrence D. Brown PhD Student Award Session
Sunday, August 6, 2 p.m.

Yaqi Duan, Massachusetts Institute of Technology
Optimal Policy Evaluation Using Kernel-Based Temporal Difference Methods

Yuetian Luo, University of Wisconsin – Madison
Tensor-on-Tensor Regression: Riemannian Optimization, Over-Parameterization, Computational Barriers, and Their Interplay

Tudor Manole, Carnegie Mellon University
Plugin Estimation of Smooth Optimal Transport Maps

Medallion Lecture I
Ingrid Van Keilegom, KU Leuven
Copula-Based Cox Proportional Hazards Model for Dependent Censoring
Monday, August 7, 8:30 a.m.

Wald Lecture I
Bin Yu, University of California, Berkeley
Seeking Boolean Interactions in Biomedicine and Proofs
Monday, August 7, 10:30 a.m.

Medallion Lecture II
Runze Li, Penn State University
Feature Screening for Ultra-High Dimensional Data: Methods and Applications
Monday, August 7, 2 p.m.

IMS Presidential Address
Peter Bühlmann, ETH Zurich
IMS: What Does It Stand For? What Could It Stand For?
Monday, August 7, 8 p.m.

IMS Grace Wahba Award Lecture
Wing-Hung Wong, Stanford University
Causal Inference by Encoding Generative Modeling
Tuesday, August 8, 10:30 a.m.

Florence Nightingale David Award
Karen Bandeen-Roche, Johns Hopkins University
More Than Freedom from Disease: A Quest to Determine ‘Health’
Tuesday, August 8, 2 p.m.

Blackwell Award Lecture
Ya’acov Ritov, University of Michigan
Minimax vs. (Empirical) Bayes Prediction
Tuesday, August 8, 2 p.m.

Wald Lecture II
Bin Yu, University of California, Berkeley
Sparse Dictionary Learning and Deep Learning in Practice and Theory
Tuesday, August 8, 4 p.m.

Medallion Lecture III
Yingying Fan, University of Southern California
High-Dimensional Random Forests Estimation and Inference
Wednesday, August 9, 10:30 a.m.

Medallion Lecture IV
Aurore Delaigle, University of Melbourne
Measurement Errors in Diet and Nutrition
Wednesday, August 9, 2 p.m.

COPSS Distinguished Achievement Award and Lectureship
Bin Yu, University of California, Berkeley
Veridical Data Science Toward Trustworthy AI
Wednesday, August 9, 4 p.m.

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