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CC = Colorado Convention Center   H = Hyatt Regency Denver at Colorado Convention Center
* = applied session       ! = JSM meeting theme

Activity Details

641 * ! Thu, 8/1/2019, 10:30 AM - 12:20 PM CC-109
Recent Advances in Density Mixture Modeling and EM-Like Algorithms: Frequentist and Bayesian Views — Topic Contributed Papers
Section on Nonparametric Statistics, Section on Statistical Learning and Data Science, International Indian Statistical Association
Organizer(s): Michael Levine, Purdue University
Chair(s): Matthew Reimherr, Penn State University
10:35 AM An Asynchronous Distributed Expectation Maximization Algorithm for Massive Data: The DEM Algorithm
Sanvesh Srivastava, University of Iowa; Chuanhai Liu, Purdue University; Glen DePalma, Purdue University
10:55 AM A Regularization Based Approach to Estimation of a Two Component Nonparametric Density Mixture with a Known Component

Michael Levine, Purdue University; Zuofeng Shang, IUPUI; Zhou Shen, J.P. Morgan
11:15 AM Singularity Structures of Mixture Models: Statistical and Computational Perspective

Nhat Ho, University of California, Berkeley
11:35 AM Prediction Risk in Linear Regression Models Under Global-Local Mixture Priors

Anindya Bhadra, Purdue University; Jyotishka Datta, University of Arkansas; Yunfan Li, Purdue University; Nicholas Polson, University of Chicago; Brandon Willard, University of Chicago
11:55 AM Mixture Methods for Panel Data Models

Stephane Bonhomme, University of Chicago
12:15 PM Floor Discussion