American Statistical Association
New York City
Metropolitan Area Chapter

Mailman School of Public Health
Columbia University
Department of Biostatistics Colloquium



BASEBALL, SHAKESPEARE, AND MODERN STATISTICAL THEORY

by

Brad Efron
Stanford University


Abstract

Statistics is the mathematical theory of learning from experience, especially experience that arrives a little bit at a time: a baseball player's success or failure in one trip to the plate, a cancer patient's survival or death in a clinical trial of a new treatment. Two competing schools, the Bayesians and the frequentists, have contended for supremacy in information collection for two and a half centuries. Suddenly, at the beginning of the Twenty-First Century, new scientific technology, producing torrents of data asking volumes of questions, has forced a combined Bayesian/frequentist approach to information analysis. I'll describe both the old and new theories through a few examples. No background beyond elementary probability will be assumed.


Date: Friday, April 6, 2007
Time: 11:00 A.M. - 12:00 P.M.
Location: Columbia Presbyterian Medical Center
Vanderbilt Clinic
Humphreys Auditorium - 14th Floor, Room 240
622 West 168th Street
(between Broadway and Fort Washington Avenue)
New York, New York

RESERVATIONS ARE NOT REQUIRED


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