Statistics Seminars 2012-13

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

May 2013

Date Speaker Affiliation Title Abstract 05.28 David Blei Princeton University Stochastic variational inference and scalable topic models 05.21 Samuel Kou Harvard University Stochastic inference of dynamic system models: From single-molecule experiments to statistical estimation 05.14 Ben Klemens US Center for Statistical Research and Methodology Designing a computational system for multi-paradigm modeling 05.07 Nancy Zhang University of Pennsylvania Models and statistics for detection of genome structural variation

April 2013

Date Speaker Affiliation Title Abstract 04.30 Peyman Milanfar UC Santa Cruz Data-adaptive smoothing and state of the art in image processing 04.23 Peter Kitanidis Stanford Civil & Environmental Engineering Bayesian inference in the solution of inverse problems 04.16 Sourav Chatterjee Stanford Statistics Matrix estimation by universal singular value thresholding 04.12 Special Friday Event Michael Unser EPFL, Lausanne Sparse stochastic processes 04.09 Drew Linzer Emory University Dynamic Bayesian forecasting of presidential elections in the states 04.02 BSJC David Donoho Stanford Statistics Compressed sensing and simple denoising

March 2013

Date Speaker Affiliation Title Abstract 03.19 Axel Munk Georg August University of Goettingen, Germany Multiscale change-point inference 03.12 Lexin Li North Carolina State University Tensor regression, regularization, and neuroimaging data analysis 03.05 Mladen Kolar Carnegie Mellon University Exploring dynamic complex systems using time-varying networks

February 2013

Date Speaker Affiliation Title Abstract 02.26 Jonathan Taylor, Rob Tibshirani Stanford Statistics A significance test for adaptive linear modeling 02.21 Special Thursday Event Ben Calderhead University College London Efficient Bayesian inference for complex statistical models using differential geometric MCMC 02.19 Yuval Benjamini UC Berkeley Exploring image representation in the visual cortex using encoding models 02.12 Caroline Uhler Institute of Science and Technology Austria Geometric constraints in causal inference and chromosome packing 02.05 Omer Tamuz Weizmann Institute of Science Learning and the topology of social networks

January 2013

Date Speaker Affiliation Title Abstract 01.29 --- No Seminar --- 01.22 José Zubizarreta The Wharton School Using mixed integer programming for matching in observational studies: Effect of the 2010 Chilean earthquake on posttraumatic stress 01.15 Gongjun Xu Columbia University Statistical inference for diagnostic classification models 01.09 Special Wednesday Event Ping Li Cornell University BigData: Probabilistic methods for efficient search and statistical learning in extremely high-dimensional data 01.08 Tze Lai Stanford Statistics A new approach to adaptive particle Filters and Markov chain Monte Carlo

December 2012

Date Speaker Affiliation Title Abstract 12.12 Special Wednesday Event Harald Steck Netflix Beyond the Netflix Prize: On Recommender Systems for Ranking 12.11 Alessandro Rinaldo Carnegie Mellon University Maximum likelihood estimation in exponential families for discrete data 12.04 Mark Hansen Columbia University Information performance

November 2012

Date Speaker Affiliation Title Abstract 11.27 Ethan Anderes UC Davis Shrinking the quadratic estimator of dark matter from the cosmic microwave background 11.20 Nanny Wermuth Chalmers Technical University, Gothenburg Traceable regressions in a prospective study of child development 11.13 Ali Shojaie University of Washington Inferring regulatory networks by combining perturbation screens and steady state gene expression profiles 11.07 Special Wednesday Event Bala Rajaratnam Stanford Statistics/EESS A spatial modeling approach to multiproxy paleoclimate reconstructions 11.06 Gunnar Carlsson Stanford Mathematics Persistent homology and the shape of data

October 2012

Date Speaker Affiliation Title Abstract 10.30 SBJC Jianqing Fan Princeton University Covariance assisted screening and estimation 10.23 Devavrat Shah MIT Efficient crowd-sourcing 10.18 Special Thursday Event Avi Mandelbaum TECHNION Data-based service networks: A research framework for asymptotic inference, analysis and control of service systems 10.16 Guido Imbens Stanford GSB Identification and inference with many invalid instruments 10.09 --- No Seminar --- 10.02 Brad Efron Stanford Statistics Model selection, estimation, and bootstrap smoothing

September 2012

Date Speaker Affiliation Title Abstract 09.25 --- No Seminar --- 09.11 Special Intersession Event Bala Rajaratnam Stanford Statistics Regularization of positive definite matrices: Connections between algebra, graph theory & statistics

SBJC = Stanford/Berkeley Joint Colloquium at Stanford

BSJC = Berkeley/Stanford Joint Colloquium at Berkeley