Keyword Search
Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
Keyword Search Criteria: nonparametrics returned 17 record(s)
|
Monday, 07/31/2017
|
Detecting Local Closeness of Two Distribution Functions
Zhun Deng, Harvard; Jie Ding, Harvard; Vahid Tarokh, Harvard
|
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
|
On some distributional properties of hierarchical processes
Federico Camerlenghi, University of Bologna; Antonio Lijoi, Bocconi University; Igor Pruenster, Bocconi University
|
Nonparametric Modeling of Heavy-Tailed Distributions with Applications to Extreme Events
Todd Wilson, North Carolina State University; Sujit K Ghosh, North Carolina State University
|
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
|
Nonparametrics, Network Information and Efficient Estimation
Patrick Wolfe, University College London
9:25 AM
|
On some distributional properties of hierarchical processes
Federico Camerlenghi, University of Bologna; Antonio Lijoi, Bocconi University; Igor Pruenster, Bocconi University
9:45 AM
|
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
|
Nonparametric Bayes Modeling of Populations of Networks
David Dunson, Duke University
10:35 AM
|
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
|
Tuesday, 08/01/2017
|
A Gaussian Process Approach for Estimating Treatment Assignment Mechanisms
Brian Vegetabile, University of California, Irvine; Hal Stern, University of California, Irvine
|
Stability, Uncertainty, and Bayesian Learning
Chris Holmes, University of Oxford
9:00 AM
|
A Gaussian Process Approach for Estimating Treatment Assignment Mechanisms
Brian Vegetabile, University of California, Irvine; Hal Stern, University of California, Irvine
9:55 AM
|
Asymptotic Distribution Free Change-Point Detection for Modern Data
Lynna Chu, University of California, Davis; Hao Chen, University of California, Davis
3:05 PM
|
|
|