Topics in theoretical statistics and Applied Probability

Organizer: Parthanil Roy, Indian Statistical Institute
Chair: Srinivasan Balaji, George Washington University
Time: Saturday, 16:30–18:00
Room: LInC 314

16:30-17:00

How Being Distributionally Robust Can Improve Learning In High Dimensions?

Karthyek Murthy, Columbia University

17:00-17:30

Optimal design and subdata selection for big data

John Stufken, Arizona State University

17:30-18:00

Stationarity as a Path Property–with Applications in Time Series Analysis

Yi Shen, University of Waterloo