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Activity Details

174 Mon, 7/30/2012, 10:30 AM - 12:20 PM CC-Room 30B
Big Data: Strategies for Large P, Large N, or Massive Data — Contributed Papers
Section on Statistical Computing , Section on Statistical Education , Committee on Applied Statisticians , Section on Statistical Learning and Data Mining
Chair(s): Peng Zeng, Auburn University
10:35 AM Parallel External Memory Algorithms Applied to Generalized Linear Models Lee Edlefsen, Revolution Analytics
10:50 AM Approximate Centroid Inference for Complex Graphical Models Hunter Glanz, Boston University ; Luis Carvalho, Boston University
11:05 AM Limited-Information Statistics When the Number of Variables Is Large Mark Reiser, Arizona State University
11:20 AM A Simple Distribution-Free Algorithm for Generating Simulated High-Dimensional Correlated Data with an Autoregressive Structure Andres Azuero, The University of Alabama at Birmingham ; Hemant K Tiwari, The University of Alabama at Birmingham ; David T Redden, The University of Alabama at Birmingham
11:35 AM Variable Selection in Sparse Ultra High-Dimensional Additive Models with Continuous or Discrete Response Variable Girly Ramirez, Kansas State University ; Haiyan Wang, Kansas State University
11:50 AM Model-Based Clustering Analysis of Large Climate Simulation Data Sets Wei-Chen Chen, Oak Ridge National Laboratory ; George Ostrouchov, Oak Ridge National Laboratory ; David Pugmire, Oak Ridge National Laboratory ; Mr Prabhat, Lawrence Berkeley National Laboratory ; Michael Wehner, Lawrence Berkeley National Laboratory
12:05 PM Computation of Order Statistics for Very Large and Distributed Data Damir Spisic, IBM SPSS Predictive Analytics ; Graham J. Wills, IBM SPSS Predictive Analytics ; Fan Li, IBM SPSS Predictive Analytics

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