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Tuesday, 08/03/2010
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Power in the Case of Extreme Bimodal Distribution: Analysis of Delirium/Coma-Free Days in the ICU
Jennifer L. Thompson, Vanderbilt University; Ayumi Shintani, Vanderbilt University
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Modeling the Variability of Rankings
Peter Hall, The University of Melbourne
8:35 AM
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Spatial Hierarchical Models for Extremes: Modeling Both Climate and Weather Effects
Daniel Cooley, Colorado State University
8:55 AM
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Extreme Eigenvalues and Sparse Eigenvectors for Large Covariance Matrices
Iain Johnstone, Stanford University
9:05 AM
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Paleoclimate Extremes in Proxy Data
Elizabeth C. Mannshardt-Shamseldin, Statistical and Applied Mathematical Sciences Institute
9:15 AM
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A Penalized Pointwise Likelihood Approach for m-Year Precipitation Return Values Estimation Based on Regional Climate Model Output
Jun Zhang, Statistical and Applied Mathematical Sciences Institute; Wei Zheng, Eli Lilly and Company
9:35 AM
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Some Extreme Value Problems in Climate Research
Peter Guttorp, University of Washington/Norwegian Computing Center
10:35 AM
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Approximate Bayesian Computation for Spatial Extremes via Open-Faced Sandwich Adjustment
Benjamin Shaby, Statistical and Applied Mathematical Sciences Institute
10:35 AM
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Bayesian Modeling for Spatial Extreme Values
Huiyan Sang, Texas A&M University
11:00 AM
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Bayesian Nonparametric Point Process Modeling for Extreme Value Analysis
Athanasios Kottas, University of California, Santa Cruz; Ziwei Wang, University of California, Santa Cruz; Abel Rodriguez, University of California, Santa Cruz; Bruno Sanso, University of California, Santa Cruz
11:25 AM
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Nonparametric Spatial Models for Extreme Temperature Data
Montserrat Fuentes, North Carolina State University; John Henry, North Carolina State University; Brian Reich, North Carolina State University
11:50 AM
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Wednesday, 08/04/2010
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Statistical Methods for Estimating a Minimum
Shiyao Liu, Iowa State University; William Q. Meeker, Iowa State University
8:35 AM
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iPlots eXtreme: Next Generation of Interactive Graphics for Analysis of Large Data
Simon Urbanek, AT&T Labs - Research
9:00 AM
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Intensity-Based Estimation of Extreme Loss Event Probability and Value-at-Risk
Kam Hamidieh, Rice University; Stilian Stoev, University of Michigan; George Michailidis, University of Michigan
10:35 AM
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Almost Unbiased Maximum Likelihood Estimation for the Generalized Pareto Distribtion and Value at Risk
David E. Giles, University of Victoria; Hui Feng, King's College/The University of Western Ontario
10:50 AM
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Extreme-Value Distributions as g-and-h Distributions: An Empirical View
David Hoaglin, Abt Bio-Pharma Solutions, Inc.
11:05 AM
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Comparing Proportions of Extremely Rare Events of Uncertain Status with Applications to Vaccine Safety Studies
Hongyuan Cao, The University of North Carolina at Chapel Hill; Lisa M. LaVange, The University of North Carolina at Chapel Hill; Joseph Heyse, Merck Research Laboratories; Michael Kosorok, The University of North Carolina at Chapel Hill
11:35 AM
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