Bayesian Discussion Group

Department of Statistics

University of Missouri – Columbia

 

 

Spring 2011

Tuesdays 3:30-4:30 pm

210 Middlebush Hall

 

 

Schedule of talks

 

February 22 – Subha Guha

Posterior Simulation in Countable Mixture Models for Large Datasets

                        Journal of the American Statistical Association (2010), Vol. 105, No. 490: 775-786

 

March 1 - Paul Speckman

Joint work with Yu Yue (City University of New York)

Adaptive smoothing with a Cauchy process prior

 

March 8 - Marco Ferreira

Dynamic Multiscale Spatio-Temporal Models for Gaussian Areal Data

 

March 15 - Dongchu Sun

Objective Priors for Discrete Parameter Spaces

 

March 22 - Nilotpal Sanyal

Bayesian Hierarchical Multi-subject Multiscale Analysis of Functional MRI Data

 

April 5 - Jeff Gill (Washington University in St. Louis)

Using Nonparametric Modeling to Fight Terrorism

 

April 12 - Scott Holan

A Bayesian Approach to Seasonal Adjustment of Long Memory Time Series

 

April 19 - Jay Harrison (Monsanto Regulatory Sciences)

Bayesian Applications in Agricultural Research at Monsanto

 

April 26 - Chester Schmaltz

Ignorance and Imprecise Probabilities

 

Professors are welcome to present their own papers or papers by others!

Students interested in giving a talk may want to discuss with their advisors about which paper to present.

Please contact Subha Guha if you would like to make a presentation.

 

The following are possible suggestions for papers that may be discussed by the group:

 

Matthew A. Taddy

Autoregressive Mixture Models for Dynamic Spatial Poisson Processes: Application to Tracking Intensity of Violent Crime

Journal of the American Statistical Association (2010), Vol. 105, No. 492: 1403–1417

 

            Fan Li and Nancy Zhang

Bayesian Variable Selection in Structured High-Dimensional Covariate Spaces With Applications in Genomics

Journal of the American Statistical Association (2010), Vol. 105, No. 491: 1202–1214

 

Abhishek Bhattacharya and David Dunson

Nonparametric Bayesian Density Estimation on Manifolds with Applications to Planar Shapes

Biometrika (2010) 97(4): 851-865

 

            Nicholas Polson and Steven Scott

Data Augmentation for Support Vector Machines

Bayesian Analysis (2011) Vol. 6, No. 1: 1-24

 

            Ruiyan Luo and Hongyu Zhao

Bayesian hierarchical modeling for signaling pathway inference from single cell interventional data

                        Annals of Applied Probability, to appear

 

            Yongtao Guan and Matthew Stephens

Bayesian Variable Selection Regression for Genome-wide Association Studies, and other Large-Scale Problems

Annals of Applied Probability, to appear