Stochastic Modeling and Computational Statistics

Guidelines:

40 minutes for each talk + 20 minutes for discussion
informal style: chalk and blackboard talks are welcome
the talk should be accessible to all grad students who have completed 1 year of the program
interruptions during the talk are welcome but they should only be for clarifications; other questions are to be left to discussions
unpublished work may not be shared/discussed outside the group without the permission of the speaker/author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