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News: 
May 27, 2015

21st-Century Statistics at MIT: Inaugural Symposium Video Recordings

"Welcome" - Michael Sipser and Munther Dahleh

"On the Detection of Non-Independence" - Jun Liu, Harvard University

"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

"Statistical Thinking in Neuroscience" - Rob Kass, Carnegie Mellon

“Statistical Analysis Inside and Outside Economic Models” - Lars Peter Hansen, University of Chicago

"Micro-Randomized Trials & mHealth" - Susan Murphy, University of Michigan

"Statistics and Computation in Graph Estimation Problems" - Andrea Montanari, Stanford

"Bayes, De Finetti and the Challenges of Statistical Inference for Documents" - Michael Jordan, Berkeley

"What Can We Learn From Asymptotic Properties of the Posterior Distributions in Large or Infinite Dimensional Models?" - Judith Rousseau, University of Paris

"Every Parameter Would Like to Grow Up to Be a Distribution" - Roger Koenker, University of Illinois

"Statistics, the Transfer Science, and the Challenge of Networks" - Peter Bickel, UC Berkeley

"The Lasso: An Application to Cancer Detection and Some New Tools for Selective Inference" - Rob Tibshirani, Stanford

Discussion of Statistics at MIT: Challenges and Opportunities