University of Minnesota
Statistics
info@stat.umn.edu
612-625-8046


School of Statistics' home page.

Buehler-Martin Lectureship

Robert J. Buehler (1925-1988) was born in Alma, Wisconsin, and earned his PhD at University of Wisconsin, Madison. Having worked at Sandia Labs and the Universities of Wisconsin and Iowa, he came to the U in 1963 and served the School in several capacities including a spell as Department Chair.

Bob was an active thesis adviser, and is remembered as a devoted teacher and an outstanding scholar. His research area was inference: ancillary statistics, pivotals and fiducial probability were of particular interest. His 1976 incoherence example http://www.jstor.org/stable/2958578 and the 1967 “best invariant predictor” paper with Hora http://www.jstor.org/stable/2238996 are landmarks in the area.

Colleagues recall that he was a health nut who played tennis and logged 10,000 jogging miles. He was also an avid chess player.

Bob married Barbara Martin in 1965, and the couple had three children.

The annual Buehler-Martin Lectureship was created by the Martin family after Bob’s death to honor his memory. Under the program, each year we invite a distinguished statistician to spend a week with us giving three lectures. One lecture is less technical and appropriate for an audience wider than just statisticians.

Current Lectures

Year Speaker Lecture Titles
2016 Xuming He
Department of Statistics, University of Michigan
3/29: From Statistical downscaling to Multivariate Quantiles
3/31: Model-Based Inference in Subgroup Analysis

Previous Lectures

Year Speaker Lecture Titles
2015 Lynn Y.S. Lin
Lynn Y.S. Lin Statistical Consulting, Inc.
3/25: How Did I Get Into New Product Sales Forecasting Business?
2014 Bruce Lindsday
Penn State University
3/10: Mixture models: the data story, the mysteries, and the surprises.
3/12: Sufficient projections through a Fisherian information matrix
2013 Michael Newton
University of Wisconsin, Madison
3/26: Why Don't We Agree? Studying Influenza with RNA Interference
3/27: Decoding Functional Signals with the Role Model
3/28: Probabilities Over Ranks of Gamma or Normal Random Variables
2011 (F) Adrian Raftery
Professor of Statistics and Sociology University of Washington
10/25: Fast Inference for Model-Based Clustering of Networks Using an Approximate Case-Control Likelihood
10/26: Probabilistic Projection of Life Expectancy for All Countries to 2100
10/27: Probabilistic Weather Forecasting Using Ensemble Bayesian Model Averaging
2011 (Sp) Jianqing Fan
Princeton University
4/19: A Statistician's Guide to Vast-dimensional Space
4/20: Refitted Cross-validation in Ultrahigh Dimensional Regression
4/21: Control of the False Discovery Rate Under Arbitrary Covariance Dependence
2010 John Rice
University of California at Berkeley
4/12: Measuring Traffic
4/14: Statistics of the Taiwanese-American Occultation Survey
4/15: Searching for Gamma-Ray Pulsars: Detecting Periodicity in a Point Process
2009 Trevor Hastie
Stanford University
3/9: Modern Trends in Data Mining
3/10: Regularization Paths and Coordinate Descent (joint work with Jerome Friedman and Rob Tibshirani)
2008 Lawrence D. Brown
Wharton School University of Pennsylvania
4/29: In-Season Prediction of Batting Averages: A Field-test of Basic Empirical Bayes and Bayes Methodologies
4/30: Non-parametric Empirical Bayes and Compound Bayes Estimation of Independent Normal Means
5/1: A Root-Unroot Algorithm for Nonparametric Density Estimation and an Implementation via Adaptive Wavelet Block Threshholding
2007 Michael Titteringten
University of Glasgow, Scotland, UK
4/10: Pearson the Elder - A Statistical Giant
4/11: Variational approximations in incomplete-data problems
4/12: Bayesian measures of complexity, and model selection,based on incomplete data
2006 Peter McCullagh
University of Chicago
3/20: Some Remarks About Spatial Correlation of Crop Yields
3/22: Partition Models and Cluster Processes
3/23: Random Partitions and Logistic Classification
2005 Raymond J. Carroll
Texas A & M
3/29: Measuring Diet: Is it Possible?
3/30: Longitudinal and Clustered Data and Non/Semiparametric Regression
3/31: Semiparametric Methods for Gene-environment Case-control Studies When Gene and Environment Are Independent in the Population
2004 Elizabeth Thompson
University of Washington
4/19: Inferring Relationships Among Populations and Individuals
4/20: The Structure of Pedigree Data and the Detection of Linkage
4/22: Monte Carlo Likelihood in Genetic Mapping
2003 Peter Hall
Australian National University
4/29: Nonparametric Methods for Estimating Light Curves for Periodic Variable Stars
4/30: Statistical Inference in High-Dimensional, Low Sample Size Settings
5/1: Testing for Equality of Distributions in Very High Dimensions
2001 David Freedman
University of California
4/16: Statistical Issues in Census 2000
4/17: The Swine Flu Vaccine and Guillain-Barre syndrome
4/19: Salt and Blood Pressure: Conventional Wisdom Reconsidered
1999(F) Bradley Efron
Stanford University
 
1999(Sp) James O. Berger
Duke University
 
1998 John Hartigan
Yale University
 
1997 Grace Wahba
University of Wisconsin
 
1994 Anthony Atkinson
London School of Economics, UK
 
1993 John Aitchison
University of Virginia
 
1992 A.W.F. Edwards
University of Cambridge, UK