The Department of Statistics is proud to present the annual
Bahadur Memorial Lectures.
R.R. Bahadur's Lectures on the Theory of Estimation
By Raghu Raj Bahadur, Stephen M. Stigler, Wing Hung Wong, Daming Xu


IAIN JOHNSTONE, Departments of Statistics, Health Research and Policy, Stanford University
"High Dimensional Classical Multivariate Analysis: Ladders and Local Asymptotic Normality"
"High Dimensional Principal Component Analysis: Biases and Balms."


HÅVARD RUE, Departments of Statistics and Mathematical Science and Engineering Division, King Abdullah University of Science and Technology
"Some New Developments in the RINLA Project"
"Penalizing Model Component Complexity: A Principled Practical Approach to Constructing Priors"


XIAOLI MENG, Department of Statistics, Harvard University
"There is Individualized Treatment. Why Not Individualized Inference?"
"From Eckhart Hall to (almost) White House:
An Unexpected Statistical Journey
(Or: How small are my big data?)"


DONALD GEMAN, Department of Applied Mathematics and Statistics, Johns Hopkins University
"Designing Vision Machines by Entropy Pursuit"
"Testing Vision Machines by Entropy Pursuit"


MICHAEL I. JORDAN, Department of Statistics, University of California, Berkeley
"Distributed Computing, the Bootstrap, and Concurrency Control"
"On Computational Thinking, Inferential Thinking, and 'Big Data'"


SUSAN A. MURPHY, Department of Statistics, University of Michigan, Ann Arbor
"Machine Learning Methods for Individualizing Just in Time Adaptive Interventions"
"Getting SMART about Adapting Interventions"


PETER J. GREEN, University of Bristol and University of Technology, Sydney
"Emission Tomography and Bayesian Inverse Problems"
"Bayesian Graphical Model Determination" 

PETER BÜHLMANN, Seminar für Statistik, ETH Zürich
"Assigning Statistical Significance in HighDimensional Problems"
"Causal Statistical Inference and Intervention Experiments for LargeScale Biological Systems" 

JAMES O. BERGER, Department of Statistical Science, Duke University
"Bayesian Adjustment for Multiplicity"
"I don't know where I'm gonna go when the volcano blows" 

PETER HALL, Department of Mathematics and Statistics, University of Melbourne, Australia
"Modelling the Variability of Rankings"
"Contemporary Frontiers in Statistics" 

STEFFEN LAURITZEN, Department of Statistics, University of Oxford
"Sufficiency and Transitivity"
"Bayesian Networks for the Analysis of DNA Mixtures" 

STUART GEMAN, Division of Applied Mathematics, Brown University
"Rare Events in the Financial Markets"
"On the Peculiar Statistics of Natural Images" 

WING H. WONG, Department of Statistics, Stanford University
"Statistical Issues in the Study of Gene Regulation"
"Learning Causal Bayesian Network Structures from Experimental Observations" 

ELIZABETH A. THOMPSON, Departments of Statistics, and of Genome Sciences, University of Washington
"Monte Carlo Likelihood Inference in Latent Variable Problems"
"Uncertainty and Evidence in the Face of Unseen Data" 

WILLEM R. VAN ZWET, Mathematical Institute, University of Leiden
"Statistics and the Law: The Case of the Negligent Nurse"
"Kakutani’s Interval Splitting Scheme" 

DAVID O. SIEGMUND, Department of Statistics, Stanford University
"Statistical Problems of Genetic Mapping"
"Gene Mapping and Model Selection" 

ADRIAN BADDELEY, Department of Mathematics and Statistics, University of Western Australia
"Counting Leaves on a Tree and Neurons in the Brain"
"Practical Maximum Pseudolikelihood for Spatial Data" 

PETER J. BICKEL, Department of Statistics, University of California, Berkeley
"Suggestive Statistics and Texture Analysis"
"Testing Semiparametric Hypotheses and Unorthodox Bootstraps" 

PERSI DIACONIS, Department of Statistics, Stanford University
"On Coincidences" 

LAWRENCE D. BROWN, Department of Statistics, University of Pennsylvania
"Current Plans and Prospects for Census 2000"
"New, Improved Confidence Intervals for a Binomial Proportion" 
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