Date |
Speaker |
Title |
Note |
Sep 01 |
Yi Zhao |
Multimodal Neuroimaging Data Integration and Pathway Analysis |
Assistant Professor at IU School of Medicine |
Sep 08 |
Yuzhen Zhou |
Forecasting with clustering based spatially varying auto-regressive model |
Assistant Professor at University of Nebraska–Lincoln |
Sep 15 |
Sheng Zhang |
Asymptotics in a quadratic free-knot spline model with applications in detecting changepoints of Covid-19 data |
|
Sep 22 |
Jeong Hoon Jang |
Principal Component Analysis of Hybrid Functional and Vector Data |
Assistant Professor at IU School of Medicine |
Sep 29 |
Jiayue Wang |
Bayesian Modeling of COVID-19 Positivity Rate: the Indiana experience
|
|
Oct 06 |
Xiaoping Du |
Saddlepoint Approximation for Predicting Rare Failure Probabilities in Engineering |
Professor at School of Engineering and Technology |
Oct 16 (Friday 10:30-11:30) |
Ruizhi Zhang |
Adaptive Change-Point Detection of the Ising model and Non-Convex M-estimation |
Assistant Professor at University of Nebraska–Lincoln |
Oct 20 |
Tianyang Hu |
Nonparametric Perspective of Deep Neural Networks |
PhD candidate from Purdue Stats Department |
Oct 27 |
Xiaoxi Shen |
Statistical Inference Based on Neural Networks, Zoom Video |
Postdoctoral Associate at University of Florida |
Nov 03 |
Ross Grinvalds |
Extending free one-knot-to-multiple spline model for changepoint detection in the US COVID-19: a review of definitions, implementation methods, and preliminary results |
|
Nov 10 |
Lijiang Guo |
cancelled |
PhD candidate from the Department of Intelligent Systems Engineering (ISE) at Indiana University |
Nov 17 |
Liangyuan Hu |
Marginal structural models for causal inference with continuous-time treatment and censored survival outcomes, Zoom Video |
Assistant Professor of Biostatistics at Mount Sinai School of Medicine |