Pfizer Colloquium

The Pfizer Colloquium at UConn invites a guest of honor to present a lecture to the University community. Each lecture is followed by a conversation with the guest of honor and two other distinguished statisticians.

Event History

The Pfizer Colloquium began in 1978, and has been continually supported by funding from Pfizer Inc., the UConn Department of Statistics, and the American Statistical Association (ASA). This joint initiative was started under the leadership of Professor Harry O. Posten (UConn) and Dr. David S. Salsburg (Pfizer Global Research and Development). After Professor Posten’s death in March 2002 and Dr. Salsburg’s retirement from Pfizer, Professor Nitis Mukhopadhyay (UConn) and Dr. Naitee Ting (then with Pfizer) served as program leaders for the respective organizations. Dr. William T. Duggan of Pfizer succeeded Dr. Ting in August 2009.

The current steering committee members include Dr. Demissie Alemayehu (Pfizer), Professor Dipak Dey (UConn), and Dr. Ron Wasserstein (ASA).

The Pfizer Colloquium by Distinguished Statistician was established in honor of alumnus David S. Salzburg ’66 Ph.D. The Conversation with a Distinguished Statistician was established in memory of Professor Harry O. Posten.

Upcoming Colloqium

Past Colloquia

2024

Pfizer Colloquium #30
Speaker: Prof. Nancy Reid, University of Toronto, Canada
Title: When likelihood goes wrong
Abstract: Inference based on the likelihood function is the workhorse of statistics, and constructing the likelihood function is often the first step in any detailed analysis, even for very complex data. At the same time, statistical theory tells us that ‘black-box’ use of likelihood inference can be very sensitive to the dimension of the parameter space, the structure of the parameter space, and any measurement error in the data. This has been recognized for a long time, and many alternative approaches have been suggested with a view to preserving some of the virtues of likelihood inference while ameliorating some of the difficulties. In this talk I will discuss some of the ways that likelihood inference can go wrong, and some of the potential remedies, with particular emphasis on model misspecification.
Recording of presentation
Recording of interview

2023

Pfizer Colloquium #29
Speaker: James Berger, Arts and Sciences Distinguished Professor Emeritus of Statistics at Duke University
Recording of presentation
Recording of interview

2022

Pfizer Colloquium #28
Speaker: Malay Ghosh, Distinguished Professor of the Department of Statistics at the University of Florida
Recording of presentation
Recording of interview

2021

Pfizer Colloquium #27
Speaker: Mary Gray, American University
Recording of presentation

Pfizer Colloquium #26
Speaker: Peter J. Bickel, University of California, Berkeley
Recording of presentation
Conversation with Dr. Bickel

2020

Pfizer Colloquium #25
Speaker: Nan Laird, Harvard T.H. Chan School of Public Health
Recording of presentation

2018

Pfizer Colloquium #24
Speaker: Grace Wahba, University of Wisconsin-Madison
Recording of presentation
Conversation with Dr. Wahba

2012

Pfizer Colloquium #23
Speaker: Pranab K. Sen, University of North Carolina, Chapel Hill
Recording of presentation

2009

Pfizer Colloquium #22
Speaker: Stephen E. Fienberg, Carnegie Mellon University
Recording of presentation
Conversation with Dr. Fienberg

2007

Pfizer Colloquium #21
Speaker: Barbara A. Bailar, Statistical Consultant
Recording of presentation
Conversation with Dr. Bailar

2006

Pfizer Colloquium #20
Speaker: Emanuel Parzen, Texas A&M University
Recording of presentation
Conversation with Dr. Parzen

2005

Pfizer Colloquium #19
Speaker: C.C. Heyde, Columbia University
Recording of presentation

2004

Pfizer Colloquium #18
Speaker: David R. Brillinger, University of California, Berkeley
Recording of presentation
Conversation with Dr. Brillinger

2001

Pfizer Colloquium #17
Speaker: Bradley Efron, Stanford University
Recording of presentation
Conversation with Dr. Efron

2000

Pfizer Colloquium #16
Speaker: Janet Norwood, The Urban Institute
Conversation with Dr. Norwood

1998

Pfizer Colloquium #15
Speaker: Robert V. Hogg, University of Iowa
Recording of presentation
Conversation with Dr. Hogg

1997

Pfizer Colloquium #14
Speaker: Ingram Olkin, Stanford University
Recording of presentation
Conversation with Dr. Olkin

1995

Pfizer Colloquium #13
Speaker: Theodore W. Anderson, Stanford University
Recording of presentation
Conversation with Dr. Anderson

1994

Pfizer Colloquium #12
Speaker: David R. Cox, University of Oxford
Recording of presentation
Conversation with Dr. Cox

1992

Pfizer Colloquium #11
Speaker: Erich Lehmann, University of California, Berkeley
Recording of presentation
Conversation with Dr. Lehmann

1990

Pfizer Colloquium #10
Speaker: Herbert Robbins, Rutgers University
Recording of presentation
Conversation with Dr. Robbins

1989

Pfizer Colloquium #9
Speaker: Herman Chernoff, Harvard University
Recording of presentation
Conversation with Dr. Chernoff

1987

Pfizer Colloquium #8
Speaker: Frederick Mosteller, Harvard University
Recording of presentation

1985

Pfizer Colloquium #7
Speaker: Morris H. Hansen, Westat, Inc.
Recording of presentations: Censuses and Surveys, 50 Years and Some History and Reminiscences on Survey Sampling

1984

Pfizer Colloquium #6
Speaker: Churchill Eisenhart, National Bureau of Standards

1983

Pfizer Colloquium #5
Speaker: Gottfried Noether, University of Connecticut
Recording of presentation

1981

Pfizer Colloquium #4
Speaker: C.R. Rao, University of Pittsburgh and Indian Statistical Institute
Recording of presentation
Conversation with Dr. Rao

1980

Pfizer Colloquium #3
Speaker: Harold Cramér, Stockholm University
Recording of presentation

1979

Pfizer Colloquium #2
Speaker: Jerzy Neyman, University of California, Berkeley
Recording of presentation

1978

Pfizer Colloquium #1
Speaker: C.R. Rao, Indian Statistical Institute