University of Minnesota

School of Statistics' home page.

Seymour Geisser Distinguished Lectures

Established in memory of Seymour Geisser, Director of the School of Statistics for 30 years (1971-2001)

The Seymour Geisser Distinguished Lectures were established by the School of Statistics in memory of Seymour Geisser, Director of the School for 30 years (1971-2001). Each academic year we invite a leading statistician to give a seminar in honor of Seymour's contributions to the School, to Statistics, and to society. The lectures are supported by the Geisser Lectureship Fund.

Current Lectures

Year Speaker Title
2017 Merlise A Clyde
Duke University
Bayesian Model Choice: Past, Present, Future

Thurs Oct 5th at 3:30pm

Tate B-20

Previous Lectures

Year Speaker Title
2016 Rob Weiss
Department of Biostatistics, UCLA Fielding School of Public Health
Analysis of Hierarchical Sexual Behavior Profiles over Time
2015 Ron Christensen
University of New Mexico
Another look at the lasso
2014 Joseph Ibrahim
University of North Carolina at Chapel Hill
Likelihood-based Methods for Missing Data and Bayesian Model Assessment
2013 Rob McCulloch
University of Chicago
The volatility of financial instruments centered on the tools of predictivism
2012 Ed George
Wharton School, University of Pennsylvania
EMVS: The EM Approach to Bayesian Variable Selection
2012 Jeff Rosenthal
University of Toronto
Adapting Metropolis Algorithms and Gibbs Samplers
2010 Wesley Johnson
University of California, Irvine
On the Value ofIncorporating Scientific Input in Modeling and Data Analysis and Howto Do It Without Pain"
2009 Jayanta Ghosh
Purdue University
Two Groups and One Group Models for Multiple Tests for Microarrays and Other Examples...a Survey and New Results
2008 Malay Ghosh
University of Florida
Objective Priors: a selective review
2007 Teddy Seidenfeld
Carnegie Mellon University
Conditional Independence, Imprecise Probabilities, Null-Events, and Graph-Theoretic Models
2006 Philip Dawid
University College London
Interpreting DNA profile evidence in complex disputed paternity cases: Bayesian networks to the rescue (Joint work with Julia Mortera and Paola Vicard, Universit√° Roma Tre)
2005 James O. Berger
Duke University
Something Old and Something New: Bivariate Normal and Computer Models