Legend:
CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
* = applied session ! = JSM meeting theme
Activity Details
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444 !
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Wed, 7/31/2019,
8:30 AM -
10:20 AM
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CC-505
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Modern and Practical Solutions to Difficult High-Dimensional Regression Problems — Invited Papers
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Section on Statistical Computing, International Association for Statistical Computing, Section on Statistical Learning and Data Science
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Organizer(s): Maryclare Griffin, Cornell University Center for Applied Mathematics
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Chair(s): Andee Kaplan, Duke University
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8:35 AM
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Informative Priors for Clustering
Amy H Herring, Duke University; Sally Paganin, University of Padova; Andrew Olshan, UNC-Chapel Hill
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8:55 AM
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Bayesian Function-On-Scalars Regression for High-Dimensional Data
Daniel R Kowal, Rice University; Daniel Bourgeois, Rice University
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9:15 AM
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Computationally-Efficient High-Dimensional Interaction Modeling
Guo Yu, University of Washington; Ryan Tibshirani, Carnegie Mellon University; Jacob Bien, University of Southern California
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9:35 AM
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Data-Adaptive Additive Modeling
Ashley Petersen, University of Minnesota; Daniela Witten, University of Washington
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9:55 AM
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Discussant: Tian Zheng, Columbia University
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10:15 AM
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Floor Discussion
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