| Date | Speaker | Topic |
|---|---|---|
| Aug 30 | Debashis Ghosh | Multivariate Multiple Testing Methods, with applications to finding gene fusion in TCGA data |
| Sep 6 | Pavel Krivitsky | Fitting Dynamic Network Models to Static Network Data |
| Sep 13 | Won Chang | Models for High-Dimensional Spatial Data using Spatial Basis Functions |
| Sep 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) |
| Sep 27 | Prabhani Kuruppumullage | Bi-clustering with EM algorithm |
| Oct 4 | No meeting | |
| Oct 11 | Guido Montufar | Scaling of Model Approximation Errors and Expected Entropy Distances |
| Oct 18 | Xiaoyue (Maggie) Nue | Fast Inference for Latent Space Network Models using Case-control Likelihood Approximation |
| Oct 25 | Marco Ferreira | EMCMC methods for optimal Bayesian adaptive design for random function estimation |
| Nov 1 | Josh Goldstein | Modeling and Computation for a Spatial Point Process |
| Nov 8 | No meeting | |
| Nov 15 | Le Bao | Incremental Mixture Importance Sampling |
| Nov 22 | No meeting (Thanskgiving) | |
| Nov 29 | Seonjin Kim | Efficient estimation for time-varying coefficient longitudinal models |
| Dec 6 | Murali Haran | Inference for Spatial Random Effects Models |