Date Speaker Topic
Fall, 2008-2009 Colloquia Schedule
September 15 Tingting Zhang, Harvard University Two Topics in Nonparametric Statistics
September 17 Charity Morgan, Harvard University Assessing Thought Disordered Behavior Using Finite Mixture Models
September 24 Benjamin Olding, Harvard University Methods of Approximate Inference: Applications to Stochastic Differential Equations, Video Microscopy, and Network Data
September 29 Stephen Stigler, University of Chicago The Five Most Consequential Ideas in the History of Statistics
October 6 Mary Sara McPeek, University of Chicago Genetic Association Studies with Known and Unknown Population Structure
October 20 Anand Vidyashankar, Cornell University Inference for Quantitation Parameters of Polymerase Chain Reactions and Branching Processes with Random Effects
October 30 Robert Gibbons, University of Illinois at Chicago Statistical Issues in Drug Safety: The Curious Case of Antidepressants, Anticonvulsants, ...., and Suicide
November 3 David Harrington, Harvard University Prediction and Misclassification in Right-censored Time-to-Event Data
November 10 Richard J. Cleary, Bentley University Benford's Law, Fraud Detection and Risk Measures in Auditing
November 13 Robin Pemantle, University of Pennsylvania An Upper Bound on the Time for Quadratic Sieving
November 17 Yacine Ait-Sahalia, Princeton University Jump Activity in High Frequency Financial Data
November 24 Martha L. Bulyk, HST (Harvard-MIT) Genomic Analysis of Transcription Factors and Cis Regulatory Elements: Regulatory Codes in DNA
December 1 Daniel Frey, MIT Adaptive One Factor at a Time Experiments: Theory and Practice
December 8 Simon Jackman, Stanford University Tracking Public Opinion Over the 2008 Election: A Hierarchical, Dynamic Linear Model
December 15 Zoubin Ghahramani, University of Cambridge Recent Directions in Nonparametric Bayesian Machine Learning
Spring, 2008-2009 Colloquia Schedule
February 2 Samuel Kou, Harvard University Stochastic Modeling in Single-Molecule Biophysics
February 9 Patrick Wolfe, Harvard University Wavelet-Based Intensity Estimation for Inhomogeneous Poisson Data
February 23 John Storey, Princeton University A General Framework for Multiple Testing Dependence
March 6 Yazhen Wang, National Science Foundation and University of Connecticut Modeling and Analyzing High-Frequency Financial Data
March 9 Nick Patterson, Broad Institute Genome Wide Association Scans in Samples That Are Admixed or Contain Related Individuals
March 16 Uri Eden, Boston University Point Process Filters Applied to the Analysis of Spiking Neural Systems
March 30 Stephen Blyth, Harvard University The Quant Delusion: Financial Engineering in the post-Lehman Landscape
April 6 Dennis Lin, Penn State Smeal College BIG Statistics
April 13 Bhramar Mukherjee, University of Michigan To Bayes or Not to Bayes in Modern Genetic Epidemiology?
April 20 David Binder, Statistics Canada (Retired) Bayesians and Frequentists under Informative and Non-informative Survey Sampling
April 24 Ramin Zabih, Cornell University Network Flow Algorithms for MAP Estimation of Markov Random Fields
April 27 Jeff Wu, Georgia Institute of Technology A Statistical Approach to Quantifying the Elastic Deformation of Nanomaterials
April 30 Rostislav Protassov, Citi Some Undelusional Work a Statistician Can Do to Help Control Risks in a Financial Institution
May 7 Yuan Yuan, Harvard University Decoding Gene Expression Regulation through Motif Discovery and Classification
May 11 Jing Maria Zhang, Harvard University Bayesian Inference of Interactions in Biological Problems
May 13 Alan Lenarcic, Harvard University Bayesian Two Lasso for the Study of Financial Contagion
May 14 Wei Zhang, Harvard University Statistical Methods for Detecting Expression Quantitative Trait Loci (eQTL)
May 19 Paul Edlefsen, Harvard University Profile HMMs for DNA Sequence Families: the Conditional Baum-Welch and Dynamic Model-Surgery Algorithms
June 15 Chenxin Li, Harvard University Estimation of Overflow Probabilities for Models with Heavy Tails and Complex Dependencies
August 20 Andrew C. Thomas, Harvard University Hierarchical Models for Relational Data: An Example from Political Science