JSM 2014 Home
Online Program Home
My Program

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.

Activity Details

251 Mon, 8/4/2014, 2:00 PM - 3:50 PM CC-Exhibit Hall B2
Contributed Oral Poster Presentations: Section on Statistical Learning and Data Mining — Contributed Poster Presentations
Section on Statistical Learning and Data Mining
Chair(s): Daniel S. Cooley, Colorado State University   
45: Webcrawling, Data Mining, Quantitative Content Analysis, and Cluster Analysis, Oh My! Understanding Supernatural Horror Fandom Brenda Osuna, University of Southern California ; Reagan Rose, University of Southern California ; Cynthia Vinney, Fielding Graduate University
46: Detection of Heterogeneous Structures on the Gaussian Copula Model Using Projective Power Entropy Yoshinori Kawasaki, Institute of Statistical Mathematics ; Akifumi Notsu, Graduate University for Advanced Studies ; Shinto Eguchi, Institute of Statistical Mathematics
47: An Enhanced Projection Pursuit Method to Aid Pattern Recognition for Longitudinal Data — Hua Fang, University of Massachusetts Medical School ; Zhaoyang Zhang, University of Massachusetts Medical School/Dartmouth ; Honggang Wang, University of Massachusetts/Dartmouth
48: Training a Classifier for Optimal Classification Error Frans H.J. Kanfer, University of Pretoria ; Ryno Potgieter, University of Pretoria ; Sollie Millard, University of Pretoria
49: Finding Cost-Effective Solutions to Health Care Problems Christian Lemieux ; Billie Anderson, Bryant University
50: Sparse Structural Factor Equation Models and Its Applications to Gene Regulatory Network Inference Yan Zhou, University of Michigan ; Peter Song, University of Michigan ; Xiaoquan Wen, University of Michigan
51: Sparse Bayesian Learning (Empirical Bayes): High-Dimensional Regression and Hyperspectral Applications Chia Chye Yee ; Yves Atchade, University of Michigan
52: Nonparametric Multivariate Mixture Model with Conditional Independence Assumption Xiaotian Zhu, Penn State
53: Smooth Positive-Definite L1-Penalized Estimation of Large Cross-Spectrum Matrices Yuan Qu, Texas A&M
54: Functional Data Analysis in Computer Vision Italo Raony Costa Lima, Auburn University ; Nedret Billor, Auburn University
55: Concave Penalized Estimation of Sparse Bayesian Networks Nikhyl Aragam, University of California, Los Angeles ; Qing Zhou, University of California, Los Angeles
56: An Investigation into the Effect of Selection Bias on Multiple Biomarker Models: A Simulation Study Tristan Grogan, University of California, Los Angeles ; David Elashoff, University of California, Los Angeles
57: Variable Selection and Estimation in Generalized Linear Models with the Seamless L0 Penalty Zilin Li, Harvard ; Sijian Wang, University of Wisconsin ; Xihong Lin, Harvard School of Public Health

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.

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