Hogg and Craig Lectures

Early in the 1969-70 academic year, Professor Allen T. Craig announced his retirement. He gave a retirement talk in January 1970. During the 1970 summer, the department decided to establish a lecture series to honor Professor Craig. His January 1970 talk was the first in this series. The second Craig Lecturer was Frederick Mosteller, who delivered the lecture in May 1971. The subsequent Craig Lectures are usually held in April, and annual student awards are usually given at this time. Professor Hogg  Professor Craig

Lecture #49 - April 21-22, 2022 Dr. Donald B. Rubin, Professor in the Yau Center for Mathematical Sciences, Tsinghua University; Murray Schusterman Senior Research Fellow, Fox Business School, Temple University; and Professor of Statistics Emeritus, Harvard University. More information can be found here.

Lecture #48 - April 15-16, 2021 Dr. Bin Yu, The Class of 1936 Second Chair in the College of Letters and Science, and Chancellor's Distinguished Professor, Departments of Statistics and of Electrical Engineering & Computer Sciences at University of California at Berkeley. More information can be found here.

Lecture #47 - April 25-26, 2019 Dr. David A. Harville, Professor Emeritus of Statistics at Iowa State University. More information can be found here.

Lecture #46 - April 26-27, 2018 Dr. David Donoho, Anne T. and Robert M. Bass Professor of Humanities and Sciences, Professor of Statistics at Stanford University. More information can be found here.

Lecture #45 - March 30-31, 2017 Dr. Xiao-Li Meng, Dean of the Graduate School of Arts and Sciences, Whipple V. N. Jones Professor of Statistics at Harvard University. More information can be found here.

Lecture #44 - April 24 and 25, 2015 (officially renamed "Hogg and Craig Lectures" since Professor Hogg passed away in 2014).
Richard L. Dykstra, Professor Emeritus and Alum (PhD in Statistics 1968). His lectures were “Fifty Years of Statistical Memories" and “Von Neumann’s Alternating Projections and Dykstra’s Algorithm”. We also celebrated our "Semi-Centennial Symposium". 

Lecture #43 - April 24 and 25, 2014
Jianqing Fan, Professor of Finance and Statistics and Chairman of the Department of Operation Research and Financial Engineering at Princeton University. His lectures were "Statistical Challenges in Analysis of Big Data" and "Homogeneity Pursuit". 

Lecture #42 - April 22 and 23, 2013
Paul Embrechts, Professor of Mathematics at the ETH Zurich specialising in actuarial mathematics and quantitative risk management, “Thinking about Extremes” and “Model Uncertainty and Risk Aggregation”.

Lecture #41 - April 26 and 27, 2012
Rob Tibshirani, Professor of Health Research and Policy, and Statistics, Stanford University, “Finding consistent patterns: A nonparametric approach for identifying differential expression in RNA-Seq data” and “The lasso: some novel algorithms and applications”.

Lecture #40 - 2011
Alan Gelfand, Duke University, "Space is the Place: Why spatial thinking matters for environmental problems" and "Point pattern modeling for degraded presence-only data over large regions".

Lecture #39 - 2010
Terry Speed, University of California at Berkley, "Removing Unwanted Variation From Microaray Data and Analysis of ChIP-Seq Data".

Lecture #38 - 2009
George Casella, University of Florida, "Estimation in Dirichlet Random Effects Models" and "From R. A. Fisher to Microarrays: Why 70 year-old Theory is Relevant Today".

Lecture #37 - 2007
Nancy Reid, University of Toronto, "Weighting the Likelihood Function" and "Putting Asymptotics to Work".

Lecture #36 - 2006
Alan Agresti, University of Florida, "Reducing Conservatism of Exact Small-Sample Inference for Discrete Data" and "A Twentieth Century Tour of Categorical Data Analysis".

Lecture #35 - 2005
Jay Kadane, Carnegie Mellon University, "Driving While Black: Differential Enforcement of the Traffic Laws on the New Jersey Turnpike" and "Is Ignorance Bliss?"

Lecture #34 - 2004
Jim Berger, Duke University, "Objective Bayesian Analysis: Its Uses in Practice and Its Role in the Unification of Statistics" and "Validation of Computer Models".

Lecture #33 - 2003
Elizabeth Thompson, University of Washington, "Linkage Detection for Complex Traits" and "Monte Carlo Estimation of Likelihood Functions: The Example of Multipoint Linkage Lod Scores".

Lecture #32 - 2001
Luke Tierney, University of Minnesota-Twin Cities, "Some Adaptive Monte Carlo Methods for Bayesian Inference" and "Some Issues in the Design of R".

Lecture #31 - 2000
Hans Gerber, University of Lausanne (Switzerland), "Trees R Us: From Kronecker and Esscher to Black and Scholes" and "Pricing Perpetual Options for Jump Processes: From Risk Theory to Finance".

Lecture #30 - 1999
Howell Tong, London School of Economics and University of Hong Kong, "Chaos in Statistics" and "Some Recent Non-Parametric Tools in Nonlinear Time Series".

Lecture #29 - 1998
Ulf Grenander, Brown University, "Computational Anatomy" and "A Bayesian Approach to Vision".

Lecture #28 - 1997
John A. Hartigan, Yale University, "The Effect of Proposition 48 on Graduation Rates of American Athletes" and "The Maximum Likelihood Prior".

Lecture #27 - 1996
Trevor Hastie, Stanford University, "Flexible Discriminant and Mixture Models" and "Metrics and Models for Handwritten Digit Recognition".

Lecture #26 - 1995
F.T. (Tim) Wright, University of Missouri-Columbia, "Harnessing Chance" and "Pseudo Likelihood Inferences for Ordered Survival Curves Under the Assumption of Proportional Hazards".

Lecture #25 - 1994
Peter McCullagh, University of Chicago, "The Role of Models in Statistics" and "Some Remarks on Over-Dispersion".

Lecture #24 - 1993
Herman Chernoff, Harvard University, "An Application of a Result of Elfving on the Optimal Design of Regression Experiments" and "The Distribution of the Likelihood-Ratio for Mixtures of Distributions with Application to Genetics".

Lecture #23 - 1992
Herbert Robbins, Columbia University, "Big N, Little n: Minimizing the Ethical Cost of a Clinical Trial" and "Estimation Under Biased Allocation".

Lecture #22 - 1991
T.W. Anderson, Stanford University, "R.A. Fisher and Multivariate Analysis" and "Goodness-of-fit Tests for Spectral Distributions".

Lecture #21 - 1990
Thomas P. Hettmansperger, Pennsylvania State University, "Simple Sign Based Inference in the Location Model" and "Rank Based Inference in the Linear Model".

Lecture #20 - 1989
Ron Pyke, University of Washington, "The Bell-Shaped Curve: A Central Role for Probability in Statistics" and "Set-Indexed Empirical, Quantile and Rank Processes".

Lecture #19 - 1988
Tom Ferguson, University of California-Berkeley, "Who Solved the Secretary Problem?" and "Some Time-Invariant Stopping Rule Problems".

Lecture #18 - 1987
Carl Morris, University of Texas, "Parametric Empirical Bayes: An Overview" and "Bayesian Empirical Bayes Interval Estimation: A Review of Recent Progress".

Lecture #17 - 1986
Steve Stigler, University of Wisconsin, "John Craig and the Probability of History" and "The History of Statistics in the Social Science: Recovering from the Central Limit Disaster".

Lecture #16 - 1985
George E.P. Box, University of Wisconsin, "Analyzing Fractional Designs" and "Thoughts on Some Ideas of Genichi Taguchi".

Lecture #15 - 1984
Wayne Fuller, Iowa State University, "Measurement Error in Regression" and "Nonlinear Measurement Error Models"

Lecture #14 - 1983
J. Stuart Hunter, Princeton University, "Theory Sigma: Quality Through Statistical Methods" and "Fractional Factorials: Sequential and Prior Analysis"

Lecture #13 - 1982
Colin L. Mallows, Bell Telephone Laboratories, "Robust Methods -- Applications and Basic Concepts" and "Robust Methods -- Theory".

Lecture #12 - 1981
David J. Bartholomew, London School of Economics and Political Science" and "Latent Variable Models in Statistics".

Lecture #11 - 1980
James C. Hickman, University of Wisconsin, "The Great Rates of Retirement Planning -- Wages, Interest and Population" and "Bayesian Bivariate Graduation and Forecasting".

Lecture #10 (officially renamed "Allen T. Craig Lecture Series," since Professor Craig passed away in 1978) - 1979
Robert V. Hogg, University of Iowa, "On Statistics at Iowa: Before 1950" and "On Statistics at Iowa: After 1950".

Lecture #9 - 1978
J.L. Doob, University of Illinois, "A Discrete Boundary Value Problem" and "A General First Boundary Value Problem for Laplace's Equation".

Lecture #8 - 1977
Frank Proschan, Florida State University, "A Class of Multivariate Functions in Ranking Problems" and "A Case History: Explaining an Observed Decreasing Failure Rate".

Lecture #7 - 1976
Brad Efron, Stanford University, "How Many Words Did Shakespeare Know?" and "Regression and ANOVA with 0-1 Data".

Lecture #6 - 1975
Dennis V. Lindley, University College, London, "Getting Married and Related Problems" and "Analysis of Variance".

Lecture #5 - 1974
Jack Kiefer, Cornell University, "Foundations of Statistics: Are There Any?" and "How to Find an Optimum Design".

Lecture #4 - 1973
H.D. Brunk, Oregon State University, "Bayesian Inference: Some Introductory Illustrations" and "Some Bayesian Approaches to Nonparametric Estimation".

Lecture #3 - 1972
William Kruskal, University of Chicago, "Federal Statistics: People and Problems" and "Statistics: Public Policy and Private Understanding".

Lecture #2 - 1971
Frederick Mosteller, Harvard University, "Statistics in Society".

Lecture #1 - 1970
Allen T. Craig