Date Speaker Topic
Fall, 2011-2012 Colloquia Schedule
September 7 Michael I. Jordan, University of California, Berkeley Statistics and Computation in the Age of Massive Data (jointly with Computer Science Department)
September 12 Tirthankar Dasgupta, Harvard University Causal Inference from Two-Level Factorial Designs
September 19 Dipak Dey, University of Connecticut Transformed Gaussian Markov Random Fields and Spatial Modeling
September 26 Gareth Roberts, University of Warwick Why does the Gibbs sampler work on hierarchical models?
September 26 Carlos Castillo-Chavez, Arizona State University Modeling Influenza Epidemics: Challenges and Opportunities
October 3 Sayan Mukherjee, Duke University Three Versions of Manifolds
October 17 Galin Jones, University of Minnesota Component-wise Markov chain Monte Carlo
October 21 Andrew Gelman, Columbia University Weakly Informative Priors
October 24 Min-ge Xie, Rutgers University Confidence Distribution, the Frequentist Distribution Estimator of a Parameter
October 31 Emanuel Parzen, Texas A&M University Classification Of High Dimensional Data, Fundamental Statistical Methods
November 7 Andrew Barron, Yale University Fast and Accurate Statistical Computations for Communication and Regression
November 21 Ryan Adams, Harvard University Tree-Structured Stick Breaking Processes for Hierarchical Data
November 22 Martin Lysy, Harvard University Building a Tall Bridge Over a Wide River: Batch Filtered Inference for Multivariate Diffusions
November 28 Scott Schmidler, Duke University An Exploration/Exploitation Approach to Adaptive MCMC
Spring, 2011-2012 Colloquia Schedule
February 3 Jacob Bien, Stanford University Sparse Hierarchical Interactions
February 6 Dan (Daniela) Yang, University of Pennsylvania Singular Value Decomposition for High-Dimensional Data
February 9 Rahul Mazumder, Stanford University Convex Regularization Algorithms for Learning Large Incomplete Matrices
February 10 Luke Bornn, University of British Columbia Nonstationary Modeling through Dimension Expansion
February 13 Xin Tong, Princeton University Learning with Asymmetry and High Dimension
February 17 Lauren Hannah, Duke University Multivariate Convex Regression
February 21 Luke Miratrix, University of California, Berkeley The Intersection of Classical and Modern Statistics in the Social Sciences
February 27 Mark Girolami, University College London MCMC methods derived from diffusions, geodesics and orthogeodesics on Riemannian manifolds
February 28 Gregory Valiant, University of California, Berkeley Algorithmic Solutions to Some Statistical Questions
March 5 John Wakeley, Harvard University Gene Genealogies within a Fixed Pedigree, and the Robustness of Kingman's Coalescent
March 19 Sham Kakade, Microsoft Research, New England; University of Pennsylvania Spectral Methods for Learning Graphical Models
March 26 Andrew Lo, MIT An Evolutionary Model of Bounded Rationality and Intelligence
April 2 Pardis Sabeti, Harvard University Evolutionary Forces in Humans and Pathogens
April 9 Samaradasa Weerahandi, Pfizer Inc. Generalized Point Estimation with Application to Mixed Models
April 26 Bronwyn Loong, Harvard University A Discussion of Uncongeniality for Synthetic Data
April 30 Sergiy Nesterko, Harvard University Respondent-Driven Sampling and Homophily in Network Data
May 2 Li Zhu, Harvard University Space-Filling Design with Unknown Constraints
May 7 Tae Yeon Kwon, Harvard University Three Essays on Credit Risk Models and their Bayesian Estimation
May 7 Chao Du, Harvard University Stepwise Signal Extraction via Marginal Likelihood
May 16 Axel Munk, Georg-August-Universität Göttingen The Multiscale Dantzig Selector: From Ion Channels to Nanoscale Cell Microscopy