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JSM 2012 Online Program

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Activity Details

356 Tue, 7/31/2012, 10:30 AM - 12:20 PM CC-Sails Pavilion
Contributed Oral Poster Presentations: Section on Statistical Learning and Data Mining — Contributed Poster Presentations
Section on Statistical Learning and Data Mining
Chair(s): Chii-Dean Lin, San Diego State University
61: The RSpec Package: Raman Spectra Pre-Processing and Classification in R Qi Wang, Iowa State University ; Dianne H Cook, Iowa State University ; Chenxu Yu, Iowa State University
62: Sparse Biclustering of Transposable Data Using the Matrix Normal Distribution Kean Ming Tan, University of Washington ; Daniela Witten, University of Washington
63: Algorithm for Constructing Model Selection Criteria in Sparse Regression Modeling Ibuki Hoshina, Chuo University ; Sadanori Konishi, Chuo University
64: Sparse Bayesian Regression Modeling via the Relevance Vector Machine Kazuki Matsuda ; Sadanori Konishi, Chuo University
65: Classification of Gastrointestinal Bleeding Data Using a Web-Based Tool and Smartphone Application Adrienne Chu, Suffolk County Community College
66: Finding Important Genes Chamont Wang, College of New Jersey ; Jana Gevertz, The College of New Jersey ; Sudhir Nayak, The College of New Jersey ; Chaur-Chin Chen, National Tsing Hua University ; Leonardo Auslender, TD Bank
67: Nonparametric Covariance Estimation for Functional Data with Shrinkage Toward Stationary Models Tayler Blake, The Ohio State University
68: Predictive Modeling for Preventable Hospital Readmissions: A Data Mining Approach Jingjing Gao, Emory University ; Xia Lin, Emory University ; Andrew Post, Emory University ; Sharath Cholleti, Emory University ; Joel Saltz, Emory University
69: Batch Sequencing Methods for Computer Experiments Aaron Quan
70: A Review of Classification Methods That Could Be Used to Identify a Subset of Patients in a Clinical Study Alexander Cambon, University of Louisville ; Shesh N. Rai, University of Louisville
71: Peak Locating for Functional Data Lu wang ; Dennis Dean Cox, Rice University
72: Random Graphs with Latent Spatial Structure Emily Casleton, Iowa State University ; Mark Kaiser, Iowa State University ; Dan Nordman, Iowa State University
74: Stability Selection in Dimension Reduction Wenbo Wu
75: Comparison Between Maximum Likelihood Estimation and Maximum Pseudo-Likelihood Estimation for Exponential Random Graph Models Xiaolin Yang, Carnegie Mellon University ; Alessandro Rinaldo, Carnegie Mellon University ; Stephen Fienberg, Carnegie Mellon University
76: Robust Feature Screening and Selectionfor Ultrahigh Dimensional Heteroscedastic Single-Index Models Wei Zhong, Penn State University ; Runze Li, Penn State University ; Liping Zhu, Shanghai University of Finance and Economics
77: Clustering-Based Robust Multivariate Outlier Detection Nedret Billor, Auburn University ; Gulsen Kiral, Cukurova University ; Asuman Turkmen, The Ohio State University

2012 JSM Online Program Home

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