MSCS Statistics and Data Science Seminar

Statistics and Data Science Seminar - Spring 2018

Usually meets Wednesday at 4:00 pm in SEO 636.

Date	Speaker	Title
January 17
January 24
January 31
February 7	Lulu Kang Illinois Institute of Technology	Bayesian Experimental Design and Hierarchical Model for Quantitative and Qualitative Responses
February 14
February 21
February 28	Li Wang AbbVie Inc.	Enhanced Understanding of MCPMod in Dose-ranging Studies
March 7	Ruijun Zhao Minnesota State University	A method for computing transition pathways of conformational changes of a biomolecule
March 14	Yiou Li DePaul University	On I-Optimal Designs for Generalized Linear Models: An Efficient Algorithm via General Equivalence Theory
March 21	Yuguo Chen UIUC	Sampling for Conditional Inference on Network Data
March 28
April 4	Daniel W. Apley Northwestern University	Understanding the Effects of Predictor Variables in Black Box Supervised Learning Models
April 11	Shunpu Zhang University of Central Florida	More powerful test procedures for multiple hypothesis testing
April 18 (3:00 pm; SEO 636)	Jean-Pierre Fouque UCSB	Optimal Portfolio under Fractional Stochastic Environment
April 18	Ruoqing Zhu UIUC	Counting Process Based Dimension Reduction Methods for Censored Outcomes
April 25	Rui Song North Carolina State University	Concordance-Assisted Learning for Individualized Treatment Regimes
May 2 (3:00 pm; SEO 636)	Peter Bonate Astellas Pharma	My (Mis)Adventures in Modeling and Simulation