Date Speaker Topic
Fall, 2004-2005 Colloquia Schedule
September 27 Xiao-Li Meng, Harvard University Sometimes it is Possible to Reduce Both Variance and Bias: The Multi-process Parallel Antithetic Coupling For Backward and Forward Markov Chain Monte Carlo
October 4 Patrick Wolfe, Harvard University A Bayesian View of Some Fundamental Problems in Statistical Signal Processing
October 12 Jia Li, Pennsylvania State University Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach
October 18 Alan Gelfand, Duke University Model-based Boundary Analysis
October 25 Malay Ghosh, University of Florida Ancillary Statistics: A Personalistic Review
November 1 Regina Dolgoarshinnykh, Columbia University Infection Spread in SIRS Epidemic Models
November 5 Jianqing Fan, Princeton University High-Dimensional Semilinear Models for Analysis of Microarray Data
November 15 Jim Hobert, University of Florida A Mixture Representation of the Stationary Distribution
November 22 Joseph Gastwirth, George Washington University Statistical Issues in the Use and Interpretation of Epidemiological Evidence in Product Liability Cases
December 6 Mark Irwin, Harvard University Spatial point process models of defensive strategies: Detecting changes
Spring, 2004-2005 Colloquia Schedule
January 3 Guido Imbens, University of California at Berkeley Large Sample Properties of Matching Estimators for Average Treatment Effects
February 10 Xinyi Xu, University of Pennsylvania High Dimensional Predictive Densities
February 14 Jon McAuliffe, University of California at Berkeley Statistical Methods for Genome Comparison
February 22 Neil Shephard, University of Oxford Variation, Jumps and High Frequency Data in Financial Econometrics
February 28 Mikyoung Jun, University of Chicago Models for Space-time Processes and Their Applications to Air Pollution
March 1 Jose Costa, University of Michigan Random Graphs and Entropy for Structure Discovery in High-Dimensional Data
March 7 Peter McCullagh, University of Chicago Spatial Correlation in Field Trials
March 8 Yoonjung Lee, Cornell University An Asymmetric Information Modeling Framework for Ultra-High Frequency Transaction Data: A Non-Linear Filtering Approach
March 14 James Propp, University of Wisconsin at Madison Better Than Random: Quasirandomness for Discrete Stochastic Systems
March 17 Montserrat Fuentes, North Carolina State University Spatial Temporal Modeling, Estimation and Prediction and Prediction of Environmental Processes
March 21 Jimena Canales, Harvard University Statistics and the "Personal Equation"
April 4 Andrew Gelman, Columbia University "How Many People Do You Know in Prison?": Using Over Dispersion in Count Data to Estimate Social Structure in Networks
April 11 Jose Blanchet, Harvard University Efficient Importance Sampling for the Maximum of Random Walk with Heavy-Tailed Increments
April 18 Vanja Dukic, University of Chicago A Bayesian SEIR Approach to Modeling Smallpox Epidemics
April 25 Cun-Hui Zhang, Rutgers University Empirical Bayes and Conditional False Discovery Rate
April 29 Gopi Goswami, Harvard University On Population Based Markov Chain Monte Carlo Methods
May 2 Sunshine Hillygus, Harvard University The State of Survey Research and Implications for Empirical Social Science
May 13 Hosung Kang, Harvard University Markov Chain Monte Carlo Applications in Bioinformatics and Astrophysics
May 16 Yaming Yu, Harvard University Efficient MCMC via Sufficient and Ancillary Data Augmentation