JSM 2013 Home
Online Program Home
My Program

Legend: Palais des congrès de Montréal = CC, Le Westin Montréal = W, Intercontinental Montréal = I
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.

Activity Details

48 Sun, 8/4/2013, 4:00 PM - 5:50 PM CC-511e
Recent Advances in Statistical Learning — Invited Papers
IMS , SSC , Statistical Learning and Data Mining Section , Biometrics Section , Section on Statistical Computing
Organizer(s): Wenxuan Zhong, University of Illinois at Urbana-Champaign
Chair(s): Wenxuan Zhong, University of Illinois at Urbana-Champaign
4:05 PM Ensemble Learning for Big Data Hugh A. Chipman, Acadia University ; Robert E. McCulloch, The University of Chicago Booth School of Business ; Matthew Pratola, Simon Fraser University ; Dave Higdon, Los Alamos National Laboratories ; James Gattiker, Los Alamos National Laboratories ; Steven L Scott, Google
4:30 PM Computational Strategies in Regression of Big Data Ping Ma, University of Illinois at Urbana-Champaign
4:55 PM On an Additive Semi-Graphoid Model for Statistical Networks with Application to Pathway Analysis Bing Li, The Pennsylvania State University ; Hyonho Chun, Purdue University ; Hongyu Zhao, Yale University
5:20 PM Sparse Mixture of Experts Learning: Algorithms and Properties Yu Zhu, Purdue University ; Han Wu, Purdue University
5:45 PM Floor Discussion

2013 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.