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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

Activity Details

353 Tue, 8/2/2016, 10:30 AM - 12:20 PM CC-W181a
SPEED: Statistical Learning and Data Science — Contributed Speed
Section on Statistical Learning and Data Science
Chair(s): Michael Weylandt, Rice University
The Poster portions will take place during Session 213219 and Session 213220
10:35 AM A Random Forest of Modified Interaction Trees for Treatment Decision Rules — Zhen Zeng, Merck ; Zheng Wei, Sanofi US ; Yuefeng Lu, Sanofi US
10:40 AM Modern Projection Pursuit Ellipse for High-Dimensional Data — Jang Ik Cho, Case Western Reserve University ; Xiaoyan Wei, Case Western Reserve University ; Jiayang Sun, Case Western Reserve University
10:45 AM Model-Free Estimation of Task-Based Dynamic Functional Connectivity and Its Confidence Intervals — Maria Kudela, Indiana University ; Mario Dzemidzic, Indiana University School of Medicine ; Brandon G. Oberlin, Indiana University School of Medicine ; Joaquín Goñi, Purdue University ; David A. Kareken, Indiana University School of Medicine ; Jaroslaw Harezlak, Indiana University Fairbanks School of Public Health
10:50 AM Topological Statistical Inference for Location Parameters via Frechet Functions — Ruite Guo, Florida State University
10:55 AM An R Package Enabling Likelihood-Based Inference for Generalized Linear Mixed Models — Christina Knudson
11:00 AM Community Extraction for Networks with Node Covariates via Pseudo-Likelihood Method — Chengan Du, George Mason University ; Qing Pan, The George Washington University ; Yunpeng Zhao, George Mason University
11:05 AM Predicting Job Application Success with Two-Stage, Bayesian Modeling of Features Extracted from Candidate-Role Pairs — Jon Krohn, untapt ; Gabe Rives-Corbett, untapt ; Ed Donner, untapt
11:10 AM Likelihood Methods for Non-Negative Matrix Factorization — Frank Shen, Penn State University
11:15 AM Models for Understanding and Predicting Consumer Perception of Radiance — Supriya A. K. Satwah, Unilever ; Anthony Cece, Unilever ; Robert Velthuizen, Unilever
11:30 AM High-Dimensional Inference for Partial Linear Models — Zhuqing Yu
11:35 AM Penalized Principal Logistic Regression for Sparse Sufficient Dimension Reduction — Seung Jun Shin, Korea University ; Andreas Artemiou, Cardiff University
11:40 AM Dimension-Reduction Techniques for Predictive Modeling — Zhen Zhang, C Spire ; Lei Zhang, Mississippi State Department of Health ; Kendell Churchwell, C Spire ; James Veillette, C Spire
11:50 AM The Knockoff Filter for FDR Control in Group-Sparse and Multitask Regression — Ran Dai, The University of Chicago ; Rina Foygel Barber, The University of Chicago
11:55 AM Maximizing Text Mining Performance: The Impact of Pre-Processing — Dario Gregori, University of Padova ; Paola Berchialla, University of Torino ; Nicola Soriani, University of Padova ; Ileana Baldi, University of Padova ; Corrado Lanera, University of Padova
 
 
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