FALL 2016
| DATE | SPEAKER | TOPIC | TITLE (Click for abstract) |
| Thu, Oct. 27 | Andrey Skripnikov | Vector autoregressive models | Estimation of Multi-Granger Network Causal Models |
| Wed, Nov. 2 | Runmin Shi | Big data algorithms | A Split-and-Merge Approach for Estimating Large-Scale Matrices |
| Wed, Nov. 9 | Abhishek Bhattacharjee | Empirical Bayes | Bias Corrected Empirical Bayes Confidence Intervals for the Selected Mean |
| Mon, Nov. 14 | Syed Rahman | Covariance matrix estimation | A Convex Framework for High-Dimensional Sparse Cholesky-Based Covariance Estimation of Gaussian DAG Models |
| Tue, Dec. 6 | Xueying Tang | Bayesian variable selection | Bayesian Variable Selection and Estimation Based on Global-Local Shrinkage Piors |