Institute for Mathematical Sciences Event Archive

 

   
 

Online registration form
    Register


Enquiries

      General



Photo Gallery

     View

   

Symposium in Probability and Statistics
in honor of Charles Stein on his 90th Birthday

(22 March 2010)

Jointly organized by Department of Statistics, Stanford University
and Institute for Mathematical Sciences, National University of Singapore


Venue: Stanford Campus in Building 370 Room 370

 
Charles Stein Photo

Charles Stein in Singapore 2003

 

Charles Stein (born 22 March 1920) is considered to be one of the most original thinkers who made fundamental contributions to probability and statistics. He has received many honors and awards and is a Member of the National Academy of Sciences (USA). He has given many invited lectures, notably as plenary speaker of the International Congress of Mathematicians, and as the Institute of Mathematical Statistics Wald Lecturer, Rietz Lecturer and Neyman Lecturer. He is now Emeritus Professor of Statistics at Stanford University and continues to be active in research in statistics.

 

Organizing Committee · Invited Speakers · Brochure · Activities · Venue · Registration · Accommodation

 

 Organizing Committee

 

  • Peter Bickel (University of California, Berkeley)
  • Louis Chen (National University of Singapore)
  • Morris L Eaton (University of Minnesota, Minneapolis)
  • Wei-Liem Loh (National University of Singapore)
  • Carl Morris (Harvard University)
  • Wing Hung Wong (Stanford University)

 

 Invited Speakers

 

  • Andrew Barbour (University of Zurich)
  • Peter Bickel (University of California, Berkeley)
  • Larry Brown (University of Pennsylvania)
  • Persi Diaconis (Stanford University)
  • Morris L Eaton (University of Minnesota, Minneapolis)
  • Bradley Efron (Stanford University)
  • Carl Morris (Harvard University)
  • David Siegmund (Stanford University)

 

 Brochure

 

Symposium Brochure

Brochure

 

 Activities


Monday, 22 Mar 2010

01:30pm - 01:45pm

Speeches by

Wing Hung Wong, Stanford University
Louis Chen, National University of Singapore

01:45pm - 02:10pm

Charles Stein's research about fixed sample optimality, apart from multivariate normal minimax shrinkage
Larry Brown, University of Pennsylvania

02:15pm - 02:40pm

On some contributions of Charles Stein to applications of invariance in Statistics
Morris L Eaton, University of Minnesota, Minneapolis

02:45pm - 03:05pm

Shrinkage estimation
Carl Morris, Harvard University

03:10pm - 03:30pm

Stein's unbiased risk estimate
Bradley Efron, Stanford University

03:30pm - 04:00pm

--- Coffee Break ---

04:00pm - 04:25pm

Charles Stein: Semiparametric models and nonparametric methods
Peter Bickel, University of California, Berkeley

04:30pm - 04:55pm

Charles Stein and fixed precision sequential estimation
David Siegmund, Stanford University

05:00pm - 05:20pm

Stein's (magic) method
Andrew Barbour, University of Zurich

05:25pm - 05:45pm

Few but ripe: 35 years of following Charles Stein
Persi Diaconis, Stanford University

06:15pm - 09:00pm

--- Dinner at Schwab Center ---


 Venue

 

 

 Registration


There is no registration fee but there is a charge for the symposium dinner. For registration click here.

 

 Accommodation

 

Please arrange your own accommodation and be sure to mention Stein symposium. See a list of hotels below:


Stanford Terrace Inn
531 Stanford Ave
Palo Alto, CA 94306
http://www.stanfordterraceinn.com/


Sheraton Palo Alto Hotel
625 El Camino Real
Palo Alto, CA 94301
SheratonReservations@pahotel.com
http://www.starwoodhotels.com/sheraton/property/overview/index.html?propertyID=214

 

The Westin Palo Alto
675 El Camino Real
Palo Alto, CA 94301
Email Kristin Baumgarner at kbaumgardner@paholel.com or call her directly at 1-65-462-2930
http://www.starwoodhotels.com/westin/property/overview/index.html?propertyID=1198


The Cardinal Hotel
235 Hamilton Avenue
Palo Alto, CA 94301
http://www.cardinalhotel.com/

 

 

Organizing Committee · Invited Speakers · Brochure · Activities · Venue · Registration · Accommodation

top
Best viewed with IE 7 and above