| Date |
Speaker |
Title |
Note |
| Jan 15 |
Xiang Wang |
Generative Local Metric Learning for Kernel Regression |
|
| Jan 22 |
Fei Gu |
Modernization of Canonical Correlation Analysis |
Postdoc of Dr. Wei Wu from Psychology Department |
| Jan 29 |
Ruixuan Zhang |
Sparse regular random graphs: Spectral density and eigenvectors |
|
| Feb 05 |
Zhi Huang |
Playing around with Deep Learning in Bioinformatics domain |
PhD student from School of Electrical and Computer Engineering at Purdue University |
| Feb 12 |
Gang Cheng |
A Significance Test for Graph-Constrained Estimation |
|
| Feb 19 |
Ziting Tang |
Asymptotic Behavior of M-Estimators of p Regression Parameters when p^2/n is Large. I. Consistency |
|
| Feb 26 |
Sheng Zhang |
A fast algorithm for computing the A-optimal distribution in linear regression model |
|
| Mar 05 |
Ruohong Li |
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests |
PhD student in Biostatistics |
| Mar 12 |
Spring Break |
|
|
| Mar 19 |
Vahid Andalib |
Reliability and Profit Evaluation of a PLC Hot Standby System Based on a Master-Slave Concept and Two Types of Repair Facilities |
|
| Mar 26 |
Ruiqi Liu |
Linearity Detection in Partially Linear Panel Model with Fixed Effects |
|
| Apr 02 |
Dali Zhou |
FDA internship report -- About FDA, R Shiny tool development, NLP and CRMST |
|
| Apr 09 |
Xiang Wang |
Efficient Estimation of the Nonparametric Mean and Covariance Functions for Longitudinal and Sparse Functional Data |
|
| Apr 16 |
Debolina Chatterjee |
Availability of a Periodically Inspected System, Maintained Under an Imperfect-Repair Policy |
|
| Apr 23 |
Jingwen Yan |
Machine Learning in Integrating –omics for Novel Biomarker Discovery of Complex Disease |
Assistant Professor from Bioinformatics |
