Statistical Inference for Large Scale Data

Dates: April 20 to 24
Location: IRMACS theatre at Simon Fraser University
Program as at 20 April

Abstracts as at 20 April

PIMS web site

Slides for talks

Jacob Bien, Cornell Convex Banding of the Covariance Matrix
Andreas Buja, Wharton Moderate-p Post-Selection Inference
Venkat Chandrasekaran, Cal Tech Latent-Variable Graphical Model Selection via Convex Optimization
Johannes Lederer How to calibrate tuning parameters
Jason Lee, Stanford Selective Inference via the Condition on Selection Framework and Communication-efficient Sparse Regression
Hannes Leeb, Vienna On conditional moments of high-dimensional random vectors given lower-dimensional projections
Po-Ling Loh, Wharton High-dimensional robust M-estimation
Richard Samworth, Cambridge Statistical and computational trade-offs in estimation of sparse principal components
Noah Simon, Washington Adjusting Point Estimates and Confidence Intervals for Selection Bias in High Dimensions as a Frequentist
Jon Taylor, Stanford Selective inference in regression
Rob Tibshirani, Stanford Two novel applications of selective inference
Bin Yu, Berkeley Stability
Ming Yuan, Wisconsin Distance Shrinkage and Euclidean Embedding via Regularized Kernel Estimation
Tong Zhang, Rutgers Some Recent Progress on Non-Convex Regularization Methods for Sparse Estimation


Richard Lockhart's web page

E-mail: lockhart at sfu dot ca
Phone: (778) 782-3264
FAX: (778) 782-4368

Nicolai Meinshausen's web page

Seminar for Statistics, ETH Zurich
Rämistrasse 101, 8092 Zurich
Email: family name `at'

Department of Statistics & Actuarial Science
Simon Fraser University