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2015
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February
2015
March 2015
2015 MSSISS: Dr. Myron Gutmann, The Past, Present, and Future of Research Data Infrastructure
Department Seminar Series: Edward Ionides
Department Hosted Seminar: Igor Pruenster, Are Gibbs-type priors the most natural generalization of the Dirichlet process?
February 2015
Department Seminar Series: Rina Foygel Barber, Robust inference on edges in non-Gaussian graphical models with ROCKET
Faculty Research Presentations Series: Professors Ben Hansen, Yves Atchade, and Vijay Nair
Department Seminar Series: Ambuj Tewari, Statistical learning theory for ranking problems
Faculty Research Presentations Series:Professors Stilian Stoev, Ji Zhu, and Robert Keener
Larry Wasserman, Topological Data Analysis
Michael Woodroofe Lecture Series: Larry Wasserman, Topological Data Analysis
Student Seminar Series: Special student invited speaker: Larry Wasserman, PhD.
Student Seminar Series: Statistics PhD Candidate's Annaul Reports
January 2015
Department Seminar Series: Daniel Sewell, "Latent space models for dynamic networks"
Student Seminar Series: Statistics PhD Candidate's Annaul Reports
Department Seminar Series: Somak Dutta, Lattice based approximations of Matérn dependence and related matrix-free statistical computations
Department Seminar Series: Lucy Xia, A Conditional Dependence Measure with Applications to Undirected Graphical Models
Student Seminar Series: Statistics PhD Candidate's Annaul Reports
Department Seminar Series: Stanislav Volgushev, Quantile-based spectral analysis
Department Seminar Series: Yuekai Sun, Distributed estimation and inference for sparse regression
Student Seminar Series: Yuan Zhang, Annual Report, "Detecting Overlapping Communities in Networks with Spectral Methods"
Oral Prelim: Shrijita Bhattacharya, Statistics on data streams with applications to the analysis high volume network flows
Department Seminar Series: Johannes Lederer, Tuning parameters in high-dimensional statistics
Oral Prelim: Michael Hornstein, A Matrix-Variate Approach to Large-Scale Inference with Dependent Observations
Oral Prelim: Kam Chung Wong, Estimation in High-dimensional Vector Autoregressive Models with Noisy And Corrupted Data