Legend: CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
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
