Sessions Were Renumbered as of May 19.
Legend:
CC-W = McCormick Place Convention Center, West Building,
CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,
UC = Conference Chicago at University Center
* = applied session ! = JSM meeting theme
544
Wed, 8/3/2016,
10:30 AM -
12:20 PM
CC-W178b
Statistical Learning with Censored Data and Systematic Sampling — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Jonathan Hobbs, Jet Propulsion Laboratory
10:35 AM
Modeling an Ordinal Outcome in High Dimensions with Nonparametric Feature Augmentation and Proportional Odds Boosting
—
Kyle Ferber, Virginia Commonwealth University ; Kellie J. Archer, Virginia Commonwealth University
10:50 AM
An approximate L0-based variable selection method for high dimensional data
—
Zhihua Sun, Ocean University of China ; Gang Li, University of California at Los Angeles
11:05 AM
Selection for Semiparametric Odds Ratio Model via Adaptive Screening
—
Jinsong Chen, University of Illinois at Chicago ; Huayun Chen, University of Illinois at Chicago
11:20 AM
Using Inverse Probability of Censoring Weighted Bagging to Adapt Machine-Learning Techniques to Censored Data
—
Ales Kotalik, University of Minnesota ; Julian Wolfson, University of Minnesota ; David Vock, University of Minnesota School of Public Health ; Gediminas Adomavicius, University of Minnesota ; Sunayan Bandyopadhyay, University of Minnesota
11:35 AM
Bayesian Neural Network for Predicting Survival Time of Competing Risks
—
Taysseer Sharaf, Slippery Rock University
11:50 AM
Systematic Sampling Design with Application to Data Splitting
—
Redouane Betrouni, George Mason University ; James E. Gentle, George Mason University
12:05 PM
Statistical Computation with Mixture Data
—
Shiju Zhang, St. Cloud State University
