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
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| 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
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