Institute for Mathematical Sciences Event Archive

Charles Stein’s Influence on Statistics

(17 - 21 June 2019)

Venue: IMS Auditorium
PDF Abstracts

Tuesday, 18 Jun 2019

09:00am - 09:15amRegistration
09:15am - 09:30amOpening Remarks
Louis Chen, National University of Singapore and Wei-Liem Loh, National University of Singapore
09:30am - 10:15am

Charles Stein: A personal view

(PDF) (Video)



David O. Siegmund
Stanford University, USA
10:15am - 10:45amGroup Photo and Coffee Break
10:45am - 11:30am

Recent applications of Stein's method in machine learning

(PDF)



Qiang Liu
The University of Texas at Austin, USA
11:30am - 12:15pm

Infinite arms bandit: optimality via confidence bounds

(PDF)



Hock Peng Chan
National University of Singapore, Singapore
12:15pm - 02:00pmLunch Break
02:00pm - 02:45pm

A class of tractable predictive densities for curved exponential families

(PDF)



Fumiyasu Komaki
The University of Tokyo, Japan
02:45pm - 03:15pmCoffee Break
03:15pm - 04:00pm

Reversing the Stein effect

(PDF)



Sanjay Chaudhuri
National University of Singapore, Singapore

Wednesday, 19 Jun 2019

09:15am - 09:30amRegistration
09:30am - 10:15am

Divergence loss and the Stein phenomemon

(PDF) (Video)



Malay Ghosh
University of Florida, USA
10:15am - 10:45amCoffee Break
10:45am - 11:30am

Single index models and non-linear compressed sensing in the non-Gaussian case via Stein type discrepancies

(Video)



Larry Goldstein
University of Southern California, USA
11:30am - 12:15pm

Singular value shrinkage prior: a matrix version of Stein’s prior

(PDF)



Takeru Matsuda
The University of Tokyo, Japan
12:15pm - 02:00pm Lunch Reception at IMS
02:00pm - 02:45pm

Stein's concentration inequality for proving the Berry-Esseen theorem

(PDF) (Video)



Louis Chen
National University of Singapore, Singapore
02:45pm - 03:15pmCoffee Break
03:15pm - 04:00pm

Joint subtree distributions under two evolutionary tree models

(PDF)



Kwok Pui Choi
National University of Singapore, Singapore

Thursday, 20 Jun 2019

09:30amExcursion

Friday, 21 Jun 2019

09:15am - 09:30amRegistration
09:30am - 10:15am

From Stein to minimax predictive density estimation: the sparse normal means case

(PDF) (Video)



Iain Johnstone
Stanford University, USA
10:15am - 10:45amCoffee Break
10:45am - 11:30am

Space-time data, intrinsic stationarity and functional models



Tailen Hsing
University of Michigan, USA
11:30am - 02:00pmLunch Break
02:00pm - 02:45pm

Ensemble minimaxity of James-Stein estimators

(PDF)



Yuzo Maruyama
University of Tokyo, Japan
02:45pm - 03:15pmCoffee Break
03:15pm - 04:00pm

Charles Stein, covariance matrix estimation and some memories from one of his students

(PDF 1, PDF 2) (Video)



Wei-Liem Loh
National University of Singapore, Singapore