Featured Speakers

8:30 a.m. – 10:20 a.m.
IMS Medallion Lecture I
Design and Analysis of Randomized Experiments on Networks
Edoardo M. Airoldi, Harvard University

10:30 a.m. – 12:20 p.m.
Introductory Overview Lecture
Computer Age Statistical Inference
Speakers: Brad Efron, Stanford University; Trevor J. Hastie, Stanford University

Blackwell Lecture
Information-Theoretic Methods in Statistics: From Privacy to Optimization
Martin Wainwright, University of California, Berkeley

2:00 p.m. – 3:50 p.m.
Introductory Overview Lecture
Data Science: A Collaboration of Statistics and Computer Science
Speakers: Lise Getoor, University of California, Santa Cruz; Robert Tibshirani, Stanford University

2:00 p.m. – 3:50 p.m.
IMS Medallion Lecture II
State-Space Modeling of Dynamics Processes in Neuroscience
Emery N. Brown, Massachusetts Institute of Technology

4:00 p.m. – 5:50 p.m.
ASA President’s Invited Address
It’s Not What You Said. It’s What They Heard.
Jo Craven McGinty, The Wall Street Journal

8:00 p.m. – 9:30 p.m.
IMS Presidential Address and Awards Ceremony
Teaching Statistics in the Age of Data Science
Jon A. Wellner, University of Washington

8:30 a.m. – 10:20 a.m.
Introductory Overview Lecture
Network Data, Modeling, Analysis, and Applications
Speakers: Eric Kolaczyk, Boston University; Harry Crane, Rutgers University; George Michailidis, University of Florida

IMS Medallion Lecture III
Coverage of Nonparametric Credible Sets
Subhashis Ghoshal, North Carolina State University

2:00 p.m. – 3:50 p.m.
IMS Medallion Lecture IV
Probabilistic Numerical Computation: A Role for Statisticians in Numerical Analysis? Mark Girolami, Imperial College London

4:00 p.m. – 5:30 p.m.
ASA Deming Lecture
A Rake’s Progress Revisited
Fritz Scheuren, NORC-University of Chicago

4:00 p.m. – 5:30 p.m.
Wald Lecture I
What’s Happening in Selective Inference I?
Emmanuel J. Candes, Stanford University

8:00 p.m. – 9:30 p.m.
ASA Presidential Address and Founder & Fellows Recognition
Statistics: Essential Now More Than Ever (Or, Why Uber Should Be in the Driver’s Seat for Cars, Not for Data Analysis)
Barry D. Nussbaum, ASA President

8:30 a.m. – 10:20 a.m.
Introductory Overview Lecture
Quantile Regression
Speakers: Roger Koenker, University of Illinois at Urbana-Champaign; Xuming He, University of Michigan; Lan Wang, University of Minnesota

IMS Medallion Lecture V
On the Semiparametric Bernstein–Von Mises Theorem in Regular and Nonregular Models
Judith N. Rousseau, Université Paris Dauphine

10:30 a.m. – 12:20 p.m.
Wald Lecture II
What’s Happening in Selective Inference II?
Emmanuel J. Candes, Stanford University

4:00 p.m. – 5:30 p.m.
COPSS Awards and Fisher Lecture
The Importance of Statistics: Lessons from the Brain Sciences
Robert E. Kass, Carnegie Mellon University

8:30 a.m. – 10:20 a.m.
Wald Lecture III
What’s Happening in Selective Inference III?
Emmanuel J. Candes, Stanford University