Featured Speakers


Teresa A. Sullivan
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.
 
Nicholas Fisher
Deming Lecture
Nicholas Fisher, University of Sydney
“Walking with Giants: A Research Odyssey”
Tuesday, July 30, 4:00 p.m.
 
Karen Kafadar
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.
 
Paul Rosenbaum
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.
 

Additional Lectures


Xiao-Li Ming
IMS Presidential Address and Awards Ceremony
Xiao-Li Meng, Harvard University
“011, 010111, and 011111100100”
Monday, July 29, 8:00 p.m.
 
Yoav Benjamini
Rietz Lecture
Yoav Benjamini, Tel Aviv University
“Selective Inference: The Silent Killer of Replicability”
Tuesday, July 30, 10:30 a.m.
 
Yee Whye Teh
Medallion Lecture I
Yee Whye Teh, University of Oxford
“On Statistical Thinking in Deep Learning”
Sunday, July 28, 4:00 p.m.
 
David Dunson
Medallion Lecture II
David Dunson, Duke University
“Learning and Exploiting Low-Dimensional Structure in High-Dimensional Data”
Monday, July 29, 8:30 a.m.
 
Helen Zhang
Medallion Lecture III
Helen Zhang, University of Arizona
“Breaking Curse of Dimensionality in Nonparametrics”
Monday, July 29, 2:00 p.m.
 
Elizaveta Levina
Medallion Lecture IV
Elizaveta Levina, University of Michigan
“Hierarchical Communities in Networks: Theory and Practice”
Wednesday, July 31, 8:30 a.m.
 
Trevor J. Hastie
Wald Lecture I
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.
 
Wald Lecture III
Trevor J. Hastie, Stanford University
“Wald III: Statistical Learning with Sparsity”
Wednesday, July 31, 10:30 a.m.
 
Free Public Lecture
 
Mark Glickman

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.

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Key Dates

    Attend
  • May 1, 2019 11:00 AM
    Registration and housing open
  • May 31, 2019
    Early registration deadline
  • June 1, 2019 12:01 AM - July 1, 2019 11:59 PM
    Regular registration (increased fees apply)
  • July 2, 2019 12:01 AM - August 1, 2019 11:59 PM
    Late Registration (increased fees apply)
  • July 3, 2019
    Housing deadline
  • July 27, 2019 - August 1, 2019
    2019 Joint Statistical Meetings
  • Program Participants
  • July 18, 2018 - September 6, 2018 11:59 PM
    Online submission of invited session proposals open
  • September 30, 2018
    Online submission of Continuing Education course proposals deadline
  • October 10, 2018 - October 29, 2018 11:59 PM
    Online submission of invited session abstracts open
  • November 12, 2018 12:01 AM - December 12, 2018 11:59 PM
    Online submission of topic-contributed session proposals
  • December 3, 2018 12:01 AM - February 4, 2019 11:59 PM
    Online submission of abstracts (all except invited papers and panels)
  • January 15, 2019
    Online submission of Computer Technology Workshop (CTW) proposals deadline
  • January 23, 2019 - April 3, 2019 11:59 PM
    Online submission of JSM Meeting & Event Requests
  • January 25, 2019
    Deadline to request registration extension for government agencies
  • April 1, 2019 - April 18, 2019 11:59 PM
    Online abstract editing open
  • May 17, 2019
    Draft manuscript deadline