Featured Speakers
ASA President’s Invited Address
Teresa A. Sullivan, University of Virginia (Emerita)
“Coming to our Census: How Social Statistics Underpin Our Democracy (and Republic)” Monday, July 29, 4:00 p.m.
Teresa A. Sullivan, University of Virginia (Emerita)
“Coming to our Census: How Social Statistics Underpin Our Democracy (and Republic)” Monday, July 29, 4:00 p.m.
Florence Nightingale David Award
Susan S. Ellenberg, University of Pennsylvania
“Statisticians and the Evolution of the Randomized Clinical Trial”
Tuesday, July 30, 2:00 p.m.
Susan S. Ellenberg, University of Pennsylvania
“Statisticians and the Evolution of the Randomized Clinical Trial”
Tuesday, July 30, 2:00 p.m.
Deming Lecture
Nicholas Fisher, University of Sydney
“Walking with Giants: A Research Odyssey”
Tuesday, July 30, 4:00 p.m.
Nicholas Fisher, University of Sydney
“Walking with Giants: A Research Odyssey”
Tuesday, July 30, 4:00 p.m.
ASA President’s Address and Awards
Karen Kafadar, University of Virginia
“Reinforcing the Impact of Statistics on Society” Tuesday, July 30, 8:00 p.m.
Karen Kafadar, University of Virginia
“Reinforcing the Impact of Statistics on Society” Tuesday, July 30, 8:00 p.m.
COPSS Awards and Fisher Lecture
Paul Rosenbaum, University of Pennsylvania
“An Observational Study Used to Illustrate Methodology for Such Studies”
Wednesday, July 31, 4:00 p.m.
Paul Rosenbaum, University of Pennsylvania
“An Observational Study Used to Illustrate Methodology for Such Studies”
Wednesday, July 31, 4:00 p.m.
Additional Lectures
IMS Presidential Address and Awards Ceremony
Xiao-Li Meng, Harvard University
“011, 010111, and 011111100100”
Monday, July 29, 8:00 p.m.
Xiao-Li Meng, Harvard University
“011, 010111, and 011111100100”
Monday, July 29, 8:00 p.m.
Rietz Lecture
Yoav Benjamini, Tel Aviv University
“Selective Inference: The Silent Killer of Replicability”
Tuesday, July 30, 10:30 a.m.
Yoav Benjamini, Tel Aviv University
“Selective Inference: The Silent Killer of Replicability”
Tuesday, July 30, 10:30 a.m.
Medallion Lecture I
Yee Whye Teh, University of Oxford
“On Statistical Thinking in Deep Learning”
Sunday, July 28, 4:00 p.m.
Yee Whye Teh, University of Oxford
“On Statistical Thinking in Deep Learning”
Sunday, July 28, 4:00 p.m.
Medallion Lecture II
David Dunson, Duke University
“Learning and Exploiting Low-Dimensional Structure in High-Dimensional Data”
Monday, July 29, 8:30 a.m.
David Dunson, Duke University
“Learning and Exploiting Low-Dimensional Structure in High-Dimensional Data”
Monday, July 29, 8:30 a.m.
Medallion Lecture III
Helen Zhang, University of Arizona
“Breaking Curse of Dimensionality in Nonparametrics”
Monday, July 29, 2:00 p.m.
Helen Zhang, University of Arizona
“Breaking Curse of Dimensionality in Nonparametrics”
Monday, July 29, 2:00 p.m.
Medallion Lecture IV
Elizaveta Levina, University of Michigan
“Hierarchical Communities in Networks: Theory and Practice”
Wednesday, July 31, 8:30 a.m.
Elizaveta Levina, University of Michigan
“Hierarchical Communities in Networks: Theory and Practice”
Wednesday, July 31, 8:30 a.m.
Wald Lecture I
Trevor J. Hastie, Stanford University
“Wald I: Statistical Learning with Sparsity”
Monday, July 29, 10:30 a.m.
Trevor J. Hastie, Stanford University
“Wald I: Statistical Learning with Sparsity”
Monday, July 29, 10:30 a.m.
Wald Lecture II
Trevor J. Hastie, Stanford University
“Wald II: Statistical Learning with Sparsity”
Tuesday, July 30, 2:00 p.m.
Trevor J. Hastie, Stanford University
“Wald II: Statistical Learning with Sparsity”
Tuesday, July 30, 2:00 p.m.
Wald Lecture III
Trevor J. Hastie, Stanford University
“Wald III: Statistical Learning with Sparsity”
Wednesday, July 31, 10:30 a.m.
Trevor J. Hastie, Stanford University
“Wald III: Statistical Learning with Sparsity”
Wednesday, July 31, 10:30 a.m.
Free Public Lecture
Mark Glickman, Harvard University
Sunday, July 28, 6:00 – 7:00 p.m.
Data Tripper: Distinguishing Authorship of Beatles Songs through Data Science
Join us as Mark Glickman, senior lecturer on statistics at Harvard University, discusses his work in statistics and music. To demonstrate his methods and findings, Glickman will demonstrate musical constructs on his guitar.
Free and open to the public. No JSM registration required.