Legend: Boston Convention & Exhibition Center = CC, Westin Boston Waterfront = W, Seaport Boston Hotel = S
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.
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
|
|
Tweet | ||
| 137 | Mon, 8/4/2014, 8:30 AM - 10:20 AM | CC-105 | |
| Big Data and Technology Applications — Contributed Papers | |||
| Section on Statistical Learning and Data Mining | |||
| Chair(s): Jason E. Gillikin, Priority Health | |||
| 8:35 AM | Statistical Interpretation of Technologies Using IPC Codes in Patents — Daiho Uhm, University of Arkansas at Fort Smith ; Sunghae Jun, Cheongju University | ||
| 8:50 AM | Conjoint Parametrers Directed to Isolating 'Hot Spots' Within Big Data — Turkan K. Gardenier, Pragmatica Corp. ; John S. Gardenier, NCHS (Retired) | ||
| 9:05 AM | Robust Analysis of Clustered Principal Component Analysis Method for Large Multivariate Data — Nasser Fard, Northeastern University ; Yuanchen Fang, Northeastern University ; Huyang Xu, Northeastern University | ||
| 9:20 AM | Factor Analysis via Modern Optimization Lens — Rahul Mazumder ; Dimitris Bertsimas, MIT | ||
| 9:35 AM | Recover Low-Rank Matrices with Heteroscedastic Noise — Jingshu Wang, Stanford University ; Art Owen, Stanford University | ||
| 9:50 AM | Logistic PCA Through an Extension of Pearson's MSE Optimality Criterion to Binary Data — Andrew Landgraf, Ohio State University ; Yoonkyung Lee, Ohio State University | ||
| 10:05 AM | Floor Discussion | ||
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development 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.
Copyright © American Statistical Association.