Date Speaker Topic
Fall, 2009-2010 Colloquia Schedule
September 2 Herman Chernoff, Harvard University Discovering Influential Variables: A Method of Partitions
September 14 Daron Acemoglu, MIT Bayesian Learning in Social Networks
September 21 Josh Tenenbaum, MIT Bayesian Models of Human Learning and Inference
September 28 Adam Glynn, Harvard University Using Process Information to Assess the Effects of Registration Laws on Voter Turnout
October 5 David Blei, Princeton University Supervised and Relational Topic Models
October 19 Burton Singer, Princeton University Mixed Membership Models: Tradeoffs between Model Complexity and Interpretability of 'Shared Membership'
October 26 Stuart Geman, Brown University Stock Prices and the Peculiar Statistics of Rare Events
November 2 Lars Hansen, University of Chicago Beliefs, Doubts and Learning
November 9 Jiashun Jin, Carnegie Mellon University Higher Criticism Thresholding: Optimal Feature Selection when Useful Features are Rare and Weak
November 12 Jörg Drechsler, Institute for Employment Research (IAB), Germany Data Wars - The Agency Strikes Back
November 16 Joseph Blitzstein, Harvard University Respondent-Driven Sampling: Degrees of Uncertainty with Uncertain Degrees
November 23 James Booth, Cornell University Simple Modeling Strategies for Micro-Array and Association Studies
November 30 Jiayang Sun, Case Western Reserve University U-Estimation for Measurement Error Problems
December 7 Giovanni Parmigiani, Dana Farber Cancer Institute; Harvard University Cross-Study Differential Gene Expression
December 14 Stephen Fienberg, Carnegie Mellon University Geometric Representations for Categorical Data Structures: Something Old, Something New, Something Borrowed, ...
Spring, 2009-2010 Colloquia Schedule
January 19 Natesh S. Pillai, University of Warwick MCMC Algorithms in High Dimensions: A New Perspective
January 25 Matthew Schofield, Columbia University Tree-Ring Based Climate Reconstruction
January 26 Emily B. Fox, Duke University Bayesian Nonparametric Methods for Complex Dynamical Phenomena
January 27 Arseni V. Seregin, University of Washington Estimation of Convex-Transformed Densities
February 1 Hua Zhou, UCLA Optimization in Some High-Dimensional Statistical Problems
February 2 Daniela M. Witten, Stanford University A Penalized Matrix Decomposition, with Application to Sparse Clustering
February 5 Yang Feng, Princeton University Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models
February 12 David Diez, UCLA Extending Spike-Time Distance and Point Pattern Prototype Methods with an Application to Neuronal Responses in Conditioned Cats
March 8 Qi-Man Shao, Hong Kong University of Science and Technology A Cramer Type Moderate Deviation for Maximum of the Periodogram with Application to Multiple Tests in Gene Expression Time Series
March 22 Michael Parzen, Emory University Quantile Regression with Missing Covariate Measurements
March 29 David Madigan, Columbia University Are Your Prescription Drugs Safe to Use?
April 5 Cynthia Rudin, MIT Sloan School of Management Mitigating Manhole Events in Manhattan using Machine Learning
April 15 Eric Xing, Carnegie Mellon University Dynamic Network Tomography: Model, Algorithm, Theory, and Application
April 19 Alan Karr, National Institute of Statistical Sciences Secure Statistical Analysis of Distributed Data
April 26 Bradley Carlin, University of Minnesota Hierarchical Commensurate Prior Models for Adaptive Incorporation of Historical Information in Clinical Trials (jointly with Biostatistics Department)
April 30 Paul Baines, Harvard University Interwoven EM Algorithms
May 11 Yves Chretien, Harvard University A New Kullback-Leibler Statistic to Quantify Discrimination and Calibration in Binomial Models