Planning Workshop, Massive Datasets Program - May 20, 2011

The purpose of the workshop, held at UC-Berkeley,  was to plan the 2012-2013 SAMSI program on Statistical and Computational Methodology for Massive Datasets. In the morning, eight invited speakers presented different areas of either methodology or application. The afternoon session was devoted to a general discussion on possible topics, speakers, and participants for working groups and workshops.

Schedule

Friday, May 20, 2011

8:50-9:00 a.m. Richard Smith (SAMSI)
Introduction and Welcome
  Session 1: Statistical and Mathematical Methodology
9:00-9:20 Trevor Hastie (Stanford)
Two Models for large data
9:20-9:40 Jim Demmel (UC-Berkeley)
Avoiding communication in numerical linear algebra
9:40-10:00 Jiayang Sun (Case Western)
10:00-10:20 Alexander Gray (Georgia Tech)
Scaling multivariate statistics to massive data
10:20-10:50 Break
  Session 2: Applications in Physics, Astronomy and Environmental Sensing
10:50-11:10 Bob Jacobsen (Lawrence Berkeley Lab)
Statistical analysis of HEP data
11:10-11:30 Sarah Michalak (Los Alamos National Lab)
Emerging computational challenges
11:30-11:50 Tamas Budavari (Johns Hopkins)
Computational Statistics in Astronomy: Now and Soon
11:50-12:10 Dan Crichton (NASA/JPL)
Challenges of analyzing large environmental data sets