Statistics Seminars 1999 - 2000

September	October	November	December	January	February	March	April	May	June	July	August

Date Speaker Title of Talk Abstract Comments 8/22 Bradley Efron Essential Fisher   8/17 Hermann Thorisson Point-Stationarity in d Dimensions and Palm Theory   8/15 Jean-Pierre Antoine Two-dimensional directional wavelets as a symmetry scanner   8/10 Bent Nielsen The Asymptotic Distribution of Unit Root Tests of Unstable Autoregressive Processes   8/3 Olivier Thas A Nonparametric Test for Independence Based on Sample Space Partitions   8/1 S.V. Nagaev The best-possible constant in a Berry-Esseen type bound for a self-normalized statisti

Date Speaker Title of Talk Abstract Comments 7/28 David Siegmund Coalescent Theory   3:30pm 7/27 Bernard Silverman Empirical Bayes approaches to wavelet smoothing and other problems involving sparsity     7/25 Larry Shepp From emission tomography to fMRI   7/20 Efstathia Bura Assessing the structural dimension of regressions using parametric and nonparametric inverse regression   7/19 Charles Stein Markov Chains Monte Carlo with small steps   7/11 Mark Huber Acceptance/Rejection Sampling from Restricted Permutations

Date Speaker Title of Talk Abstract Comments 6/30 Radford M. Neal Circularly-Coupled Markov Chain Sampling   6/29 Peter Grunwald Safe Statistics   6/27 Susan Holmes How tree-like are these data   6/6 Rainer von Sachs A SLEX-Wavelet model for spectral analysis of bivariate nonstationary time series

Date Speaker Title of Talk Abstract Comments 5/30 Laura Lazzeroni, Art Owen Plaid Models   5/23 Aad van der Vaart Rates of convergence of posterior distributions   5/16 Marshall Bern Regression Depth   5/9 Judea Pearl Estimating probability of causation   5/2 Minping Qian Promoter finding and linguistic

Date Speaker Title of Talk Abstract Comments 4/25 Iain Johnstone The largest eigenvalue of a large white Wishart matrix   4/20 A. L. Yuille and James M. Coughlan Fundamental Limits of Bayesian Inference: Order Parameters and Phase Transitions for Road Tracking   4/18 Michael A. Newton A nonparametric Bayes approach to infer the mixing distribution   4/11 Oleg Lepski On estimation of composite functions   4/7 Somesh Dasgupta Gini Association and Pseudo Lorenz Curve   4/4 Guenther Walther Estimating the number of components in a mixture

Date Speaker Title of Talk Abstract Comments 3/28 Erich Lehmann Intuition and theory: Some statistical examples BERKELEY-STANFORD COLLOQUIUM 3/21 Yuhong Yang Model Selection, Model Averaging, and Adaptive Estimation   3/7 Amir Najmi Model Selection, Statistical Inference and Data Compression

Date Speaker Title of Talk Abstract Comments 2/29 Christiane Lemieux Variance Reduction via Lattice Rules   2/22 David Aldous The East (= one-dimensional asymmetric constrained Ising) model: towards rigorous results SBJC* 2/22 Tianwen Cai Analysis of Spectral Data via Wavelets and Functional Linear Model Note: at 2:30 p.m. 2/18 Hui Wang A Barrier Option of American Type   2/15 Emmanuel Candes Curvelets and Statistical Linear Inverse Problems   2/11 Andrew V Carter Asymptotic equivalence of nonparametric experiments   2/8 Florentina Bunea A Model Selection Approach to Partially Linear Regression   2/1 Persi Diaconis Random matrix theory and the zeros of Riemann's zeta function

Date Speaker Title of Talk Abstract Comments 1/25 Daphne Koller Inference and learning in models of complex stochastic systems   1/19 Stephane Mallat Minimax Deconvolution in Mirror Wavelet Bases   1/11 Ingram Olkin Apportionment of Seat in Proportional Representation Systems: A Majorization Comparison of Divisor Methods

Date Speaker Title of Talk Abstract Comments 12/8 Sonia Petrone An exponential family random scheme for non-parametric priors

Date Speaker Title of Talk Abstract Comments 11/30 Jef Caers Stochastic inversion using Markov chain Monte Carlo simulation   11/23 Erik van Zwet Statistics of a windowed linesegment process   11/16 Paul Segall Space-Time Inversion for Earthquake and Volcanic Sources   11/10 Sam Karlin The use of bioinformatics for analyzing and interpreting biomolecular sequence data   11/5 Edwin P. D. Pednault A Machine Learning Approach to Insurance Risk Modeling   11/2 Trevor Hastie & Rob Tibshirani New Statistical methods for DNA microarrays

Date Speaker Title of Talk Abstract Comments 10/26 Hidetoshi Shimodaira Assessing the Uncertainty in Model Selection: The Confidence Set of Models   10/19 Jerome Friedman Gradient Boosting and Multiple Additive Regression Trees   10/12 Doug Nychka Challenges in Understanding the Atmosphere   10/5 Moshe Pollak Non-anticipating Estimation Applied to Sequential Hypothesis Testing and Control Charts Independent Components of Images BSJC**

Date Speaker Title of Talk Abstract Comments 9/28 Emmanuel Candes New tools for the estimation of discontinuous functions