MSCS Statistics and Data Science Seminar

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Statistics and Data Science Seminar - Fall 2011

Usually meets Wednesday at 4:00 pm in SEO 636.

Date	Speaker	Title
August 3	Prof Bikas K Sinha Indian Statistical Institue, Kolkata, India	Understanding Species' Abundance
August 24	Statistics Group University of Illinois at Chicago	Statistics Seminar Organization Meeting
August 31	Kashinath Chatterjee Visva-Bharati University, India	Search Designs for Model Selections in Fractional Factorial Experiments
September 7	Ryan Martin UIC	A Bayesian test of normality versus a Dirichlet process mixture alternative
September 14	Cheng Ouyang UIC	Concentration property and Log-Sobolev inequality for SDE's driven by fractional Brownian motions
September 21	Zhifan Zhang and Tu Xu UIC	Latent Class Analysis and Regression Analysis in Health Care Market Research / Mulitcategory Probability Estimation via Quantile Kernel Regression
September 28	Bo Li Purdue University	An approach to modeling asymmetric multivariate spatial covariance structures
October 5	Mary Sara McPeek University of Chicago	X-chromosome Genetic Association Analysis with Related Individuals
October 12	Ang Wei University of Rochester	Multivariate estimates for unsigned Gaussian functions
October 19	Tian Zheng Columbia University	Latent Space Model for Aggregated Relational Data
October 25	Fabrice Baudoin Purdue University	Some aspects of stochastic differential equations driven by fractional Brownian motions
October 26	Ivan Mizera University of Alberta	Quantile tomography: using quantiles with directional data
November 2	Surya Tapas Tokdar Duke University	Simultaneous Linear Quantile Regression: A Semiparametric Bayesian Approach
November 9	Elton Hsu Northwestern University	Transportation Cost Inequality for Gaussian Measure and Coupling of Brownian Motion
November 16	Hanxiang Peng Indiana University-Purdue University Indianapolis	On Maximum Empirical Likelihood Estimation And Related Topics
November 23
November 30	Surajit Borkotokey Dibrugarh University, India	An Interactive Allocation Rule for Networks

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