Featured Speakers

Christine H. Fox ASA President's Invited Address
Monday, August 10, 4:00 p.m.
The Role of Analysis in Supporting Strategic Decisions
Christine H. Fox, Johns Hopkins University Applied Physics Laboratory
 
William Q. Meeker ASA Deming Lecture
Tuesday, August 11, 4:00 p.m.
Reliability: The Other Dimension of Quality
William Q. Meeker, Iowa State University
 
David Morganstein ASA Presidential Address and Founder & Fellows Recognition
Tuesday, August 11, 8:00 p.m.
Statistics: Making Better Decisions
David Morganstein, Westat
 
Stephen Fienberg COPSS Fisher Lecture
Wednesday, August 12, 4:00 p.m.
R.A. Fisher and the Statistical ABCs
Stephen Fienberg, Carnegie Mellon University
 
Erwin Bolthausen IMS Presidential Address
Monday, August 10, 8:00 p.m.
Some Thoughts About the Relations Between Statistics and Probability Theory
Erwin Bolthausen, University of Zurich
 
John Lafferty IMS Medallion Lecture I
Sunday, August 9, 2:00 p.m.
Computational Tradeoffs in Statistical Estimation
John Lafferty, The University of Chicago
 
Nicolai Meinshausen IMS Medallion Lecture II
Monday, August 10, 2:00 p.m.
Causal Discovery with Confidence Using Invariance Principles
Nicolai Meinshausen, ETH Zurich
 
Michael Kosorok IMS Medallion Lecture III
Tuesday, August 11, 2:00 p.m.
Recent Developments in Machine Learning for Personalized Medicine
Michael Kosorok, The University of North Carolina at Chapel Hill
 
Jiashun Jin IMS Medallion Lecture IV
Wednesday, August 12, 2:00 p.m.
Spectral Clustering, with Applications in Gene Microarrays and Social Networks
Jiashun Jin, Carnegie Mellon University
 
Jon Wellner Le Cam Lecture
Monday, August 10, 10:30 a.m.
Maximum Likelihood in Modern Times: The Ugly, the Bad, and the Good
Jon Wellner, University of Washington
 
Susan A. Murphy Wald Lecture I
Tuesday, August 11, 4:00 p.m.
Sequential Decision Making and Personalized Treatment: The Future Is Now!
Susan A. Murphy, University of Michigan
 
  Wald Lecture II
Wednesday, August 12, 10:30 a.m.
Offline Data Analysis Methods and Learning Algorithms for Constructing Mobile Treatment Policies
Susan A. Murphy, University of Michigan
 
  Wald III
Thursday, August 13, 10:30 a.m.
Continual, Online Learning in Sequential Decision Making
Susan A. Murphy, University of Michigan

Invited Sessions

Invited session proposal submission for JSM 2015 has now closed.

Introductory Overview Lectures

Introductory overview lectures (IOLs) provide relatively brief, high-quality introductions to important and timely statistical topics covered in a more specialized form in JSM technical sessions. In some cases, IOLs present material from rapidly developing areas of methodology or applications. In other cases, they introduce important and challenging statistical topics that are relatively mature, but may not be well known outside of a specialist group. In all cases, IOL topics are selected because of their potential to enrich the future directions of statistical theory and practice through broader dissemination.

Proposals for IOLs-to include topics and speakers—will be accepted via email by the JSM program chair until November 26, 2014.

Late-Breaking Sessions

A late-breaking session must cover one or more technical, scientific, or policy-related topics that have arisen in the one-year period prior to the JSM in which the session is proposed to appear.

Proposals for late-breaking sessions for JSM 2015 will be accepted via email by the JSM program chair February 6 - April 15, 2015. A proposal for a late-breaking session should contain the following information:

  1. The session title
  2. A session description, including a summary of its statistical and scientific content, an explanation of its timeliness, and comments about the specific audiences for which it will be of principal interest
  3. The format of the session (e.g., a chair and four panelists; a chair, three speakers, and discussant; or a chair, two speakers, and two discussants)
  4. Names of the session organizer; chair; and all speakers, panelists, and discussants
  5. Complete affiliation and contact information (mailing address, phone, fax, email) for organizer, chair, and all participants
  6. A title for each presentation
  7. Web links to relevant technical reports, if applicable

As you prepare these items, please note that all prospective session participants-including the chair, speakers/panelists, and discussants-should have agreed to participate in the session before the session proposal is submitted.