JSM 2012 Online Program

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672	Thu, 8/2/2012, 10:30 AM - 12:20 PM	CC-Room 28D
Hypothesis Testing, Matching, and Coding — Contributed Papers
Section on Statistical Learning and Data Mining
Chair(s): Min Tang, Harvard University
10:35 AM	Creating an Automated Industry and Occupation-Coding Process for the American Community Survey — Michael Kornbau, U.S. Census Bureau ; Julie Vesely, U.S. Census Bureau ; Matthew Thompson, U.S. Census Bureau
10:50 AM	CDfdr: Direct Approach to Signal and Noise Separation — Subhadeep Mukhopadhyay, Texas A&M University
11:05 AM	Hypothesis Testing for the Mean Vector in High Dimension — Edgard Maboudou
11:20 AM	A More Powerful Two-Sample Test in High Dimensions Using Random Projection — Miles Lopes, University of California at Berkeley ; Laurent Jacob, University of California at Berkeley ; Martin J. Wainwright, University of California at Berkeley
11:35 AM	Soft Null Hypotheses: A Case Study of Image Enhancement Detection in Brain Lesions — Haochang Shou, Johns Hopkins Bloomberg School of Public Health ; Russell Shinohara, The Johns Hopkins University ; Han Liu, The Johns Hopkins University ; Daniel S. Reich, National Institute of Neurological Disorders and Stroke ; Ciprian Crainiceanu, The Johns Hopkins University
11:50 AM	Joint Optimization of Fidelity and Commensurability for Manifold Alignment and Vertex Assignment — Sancar Adali
12:05 PM	Estimating Large Correlation Matrices by Banding the Partial Autocorrelation Matrix — Yanpin Wang, University of Florida ; Michael Daniels, University of Florida

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