Thursday, May 14, 2015
8:30-9:00 am   Continental Breakfast
9:00-9:30 am

Welcome, Organizers

9:30-10:10 am "On the Detection of Non-Independence"
Jun Liu, Harvard
10:10-10:50 am

"Little Data: How Traditional Statistical Ideas Remain Relevant in a Big-Data World; or, The Statistical Crisis in Science; or, Open Problems in Bayesian Data Analysis"
Andrew Gelman, Columbia

10:50-11:05 am Break in Atrium
11:05-11:45 am "Statistical Thinking in Neuroscience"
Rob Kass, Carnegie Mellon
11:45-1:00 pm Working Lunch in Atrium
1:00-1:40 pm

"Statistical Analysis Inside and Outside Economic Models"
Lars Peter Hansen, University of Chicago

1:40-2:20 pm "Micro-Randomized Trials & mHealth"
Susan Murphy, University of Michigan
2:20-2:40 pm Break in Atrium
2:40-3:20 pm "Statistics and Computation in Graph Estimation Problems"
Andrea Montanari, Stanford
3:20-4:00 pm "Bayes, De Fenetti, and the Challenges of Statistical Inference for Documents"
Michael Jordan, Berkeley
4:00-4:10 pm Break in Atrium
4:10-4:50 pm

"What Can We Learn From Asymptotic Properties of the Posterior
Distributions in Large or Infinite Dimensional Models?"

Judith Rousseau, University of Paris

5:30-7:30 pm Dinner (By Invitation)
“What Advice Can History Give Us?”
Stephen Stigler, University of Chicago
Friday, May 15, 2015
8:30-9:00 am Continental Breakfast
9:00-9:20 am Summary of Day One, Organizers
9:20-10:00 am "Every Parameter Would Like to Grow Up to Be a Distribution"
Roger Koenker, University of Illinois
10:00-10:40 am "Data Driven Decision Making in Industry: Some Open Questions"
Patrick Bajari, Amazon
10:40-10:50 am Break in Atrium
10:50-11:30 am "Statistics, the Transfer Science, and the Challenge of Networks"
Peter Bickel, UC Berkeley
11:30-12:10 pm "The Lasso: An Application to Cancer Detection and Some New Tools for
Selective Inference"

Rob Tibshirani, Stanford
12:10-1:15 pm Lunch in Atrium
1:15-3:15 pm Discussion of Statistics at MIT: Challenges and Opportunities