Keyword Search
Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Nonparametrics returned 17 record(s)
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Monday, 07/31/2017
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Detecting Local Closeness of Two Distribution Functions
Zhun Deng, Harvard; Jie Ding, Harvard; Vahid Tarokh, Harvard
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A Bayesian Mixture Model for Clustering and Selection of Feature Occurrence Rates Under Mean Constraints
Qiwei Li, Rice University; Michele Guindani, University of California, Irvine; Brian Reich, NCSU; Howard Bondell, NC State University; Marina Vannucci, Rice University
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On some distributional properties of hierarchical processes
Federico Camerlenghi, University of Bologna; Antonio Lijoi, Bocconi University; Igor Pruenster, Bocconi University
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Nonparametric Modeling of Heavy-Tailed Distributions with Applications to Extreme Events
Todd Wilson, North Carolina State University; Sujit K Ghosh, North Carolina State University
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A Bayesian Mixture Model for Clustering and Selection of Feature Occurrence Rates Under Mean Constraints
Qiwei Li, Rice University; Michele Guindani, University of California, Irvine; Brian Reich, NCSU; Howard Bondell, NC State University; Marina Vannucci, Rice University
9:15 AM
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Nonparametrics, Network Information and Efficient Estimation
Patrick Wolfe, University College London
9:25 AM
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On some distributional properties of hierarchical processes
Federico Camerlenghi, University of Bologna; Antonio Lijoi, Bocconi University; Igor Pruenster, Bocconi University
9:45 AM
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Bayesian Nonparametric Policy Search with Application to Periodontal Recall Intervals
Qian Guan, North Carolina State University; Brian Reich, NCSU; Eric Laber, North Carolina State University; Dipankar Bandyopadhyay, Virginia Commonwealth University
9:55 AM
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Nonparametric Bayes Modeling of Populations of Networks
David Dunson, Duke University
10:35 AM
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Nonparametric Modeling of Heavy-Tailed Distributions with Applications to Extreme Events
Todd Wilson, North Carolina State University; Sujit K Ghosh, North Carolina State University
10:45 AM
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Tuesday, 08/01/2017
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A Gaussian Process Approach for Estimating Treatment Assignment Mechanisms
Brian Vegetabile, University of California, Irvine; Hal Stern, University of California, Irvine
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Stability, Uncertainty, and Bayesian Learning
Chris Holmes, University of Oxford
9:00 AM
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A Gaussian Process Approach for Estimating Treatment Assignment Mechanisms
Brian Vegetabile, University of California, Irvine; Hal Stern, University of California, Irvine
9:55 AM
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Asymptotic Distribution Free Change-Point Detection for Modern Data
Lynna Chu, University of California, Davis; Hao Chen, University of California, Davis
3:05 PM
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