College of Liberal Arts & Sciences

# 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.

**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