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Stochastic Modeling and Computational Statistics


  1. 40 minutes for each talk + 20 minutes for discussion
  2. informal style: chalk and blackboard talks are welcome
  3. the talk should be accessible to all grad students who have completed 1 year of the program
  4. interruptions during the talk are welcome but they should only be for clarifications; other questions are to be left to discussions
  5. unpublished work may not be shared/discussed outside the group without the permission of the speaker/author
Date Speaker Topic
August 30 Debashis Ghosh Multivariate Multiple Testing Methods, with applications to finding gene fusion in TCGA data
September 6 Pavel Krivitsky Fitting Dynamic Network Models to Static Network Data
September 13 Won Chang Models for High-Dimensional Spatial Data using Spatial Basis Functions
September 20 Dave Hunter Scalable statistical estimation methods for large, time-varying networks (Joint work with Duy Vu, Arthur Asuncion, Marcel Salathé, Padhraic Smyth, and Shashank Khandelwal)
September 27 Prabhani Kuruppumullage Bi-clustering with EM algorithm
October 4 No meeting  
October 11 Guido Montufar Scaling of Model Approximation Errors and Expected Entropy Distances
October 18 Xiaoyue (Maggie) Nue Fast Inference for Latent Space Network Models using Case-control Likelihood Approximation
October 25 Marco Ferreira EMCMC methods for optimal Bayesian adaptive design for random function estimation
November 1 Josh Goldstein Modeling and Computation for a Spatial Point Process
November 8 No meeting  
November 15 Le Bao Incremental Mixture Importance Sampling
November 22 No meeting (Thanskgiving)  
November 29 Seonjin Kim Efficient estimation for time-varying coefficient longitudinal models
December 6 Murali Haran Inference for Spatial Random Effects Models