| DATE |
SPEAKER |
TOPIC |
TITLE (Click for abstract) |
| Wed., Jan. 25 |
Jiyoun Myung |
Small area estimation |
Robust Bayesian Small Area Estimation |
| Wed., Feb. 8 |
Liyuan Zhang |
Markov Chain Monte Carlo |
Trace Class Markov Chains for Bayesian Shrinkage Models |
| Wed., Feb. 15 |
Saptarshi Chakraborty |
Markov Chain Monte Carlo |
Convergence Properties of Gibbs Samplers for Bayesian Probit
Regression with Proper Priors |
| Wed., Feb. 22 |
Carlos Martinez |
Graphical models |
Introducing Gaussian Concentration and Covariance Graph
Models in Genome-Wide Prediction |
| Wed., Mar. 1 |
Sophia Su |
Multivariate analysis |
Envelope Models and Methods |
| Wed., Mar. 15 |
Ethan Alt |
Time series |
Cointegration Models |
| Tue., Mar. 21 |
Satyajit Ghosh |
Vector autoregressive models |
High Dimensional Posterior Consistency in Bayesian Vector
Autoregressive Models |
| Tue., Mar. 28 |
Ray Bai |
Multiple hypothesis testing |
Bayesian Multiple Hypothesis Testing with Global-Local
Shrinkage Priors |
| Tue., Apr. 4 |
Qian Qin |
Markov Chain Monte Carlo |
Estimating the Spectral Gap of a Trace-Class Markov Operator |
| Thu., Apr. 13 |
Isaac Duerr |
Temporal modeling and clustering |
Analyzing Repetitive Behavior in a Mouse Model |
| Tue., Apr. 18 |
Rohit Patra |
Astrostatistics |
Using Kernel Density Estimation to Identify Substructures in Galaxies |