| Date |
Speaker |
Title |
Note |
| Aug 28 |
Ruiqi Liu |
Rate of convergence for ANN regression |
|
| Sep 04 |
Sheng Zhang |
An introduction to Python |
|
| Sep 11 |
Ray Zhang |
A short introduction of Stein’s method and its applications |
|
| Sep 18 |
Vahid Andalib |
A Standby System with Two Types of Repair Persons and Two Spare Units |
|
| Sep 25 |
Ziting Tang |
Asymptotic Behavior of M-Estimators for the Linear Model |
|
| Oct 02 |
Jie Shen |
Deep learning and its applications in drug discovery |
Eli Lilly and Company |
| Oct 09 |
Gang Cheng |
Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties |
|
| Oct 16 |
Fall Break |
|
|
| Oct 23 |
Yao Zheng |
Finite Time Analysis of Vector Autoregressive Models under Linear Restrictions |
Postdoc from Purdue University |
| Oct 30 |
Haixia Li |
Limit of the Smallest Eigenvalue of a Large Dimensional Sample Covariance Matrix |
|
| Nov 06 |
Wei Wu |
Dealing with ordinal missing data in measurement invariance testing |
Associate Professor from Psychology Department |
| Nov 13 |
Debolina Chatterjee |
A Discretization Approach for Finding Limiting Average Availability of a Repairable System |
|
| Nov 20 |
Bikas Kumar Sinha |
Reliability Estimation in Exponential Samples |
Indian Statistical Institute Kolkata (Retired) |
| Nov 27 |
Thomas Cheung |
Predicting Blood glucose with an LSTM Based Neural Network |
Part I |
| Dec 04 |
Thomas Cheung |
Predicting Blood glucose with an LSTM Based Neural Network |
Part II |
| Dec 11 |
Ruiqi Liu |
Statistical Optimality of Deep Neural Network Estimator |
|
