Seymour Geisser

From Wikipedia, the free encyclopedia

Seymour Geisser (1929–2004) was a statistician noted for emphasizing the role of prediction in statistical inference.^[1] In his book Predictive Inference: An Introduction, he held that conventional statistical inference about unobservable population parameters amounts to inference about things that do not exist, following the work of Bruno de Finetti. He also pioneered the theory of cross-validation.

He testified as an expert on interpretation of DNA evidence in more than 100 civil and criminal trials. He held that prosecutors often relied on flawed statistical models. On that topic, he wrote "Statistics, Litigation and Conduct Unbecoming" in the book Statistical Science in the Courtroom, edited by Joe Gastwirth (Springer Verlag, 2000).

Biography

He was born in New York City. He earned his Ph.D. at the University of North Carolina at Chapel Hill in 1955 under Harold Hotelling. In 1971, he founded the School of Statistics at the University of Minnesota, of which he was the Director for more than 30 years.

Books

Predictive Inference: An Introduction, CRC Press, 1993, ISBN 0-412-03471-9
Modes of Parametric Statistical Inference, Wiley, 2006

Geisser was also the principal editor of several books of papers by multiple authors.

Obituary

Donald A. Berry (2005) Seymour Geisser, 1929–2004, Journal of the Royal Statistical Society Series A, Volume 168 pp. 245–6.

Notes

↑ See predictive inference.

External links

Authority control	VIAF: 15479850 ISNI: 0000 0001 1599 5037 SUDOC: 034047239

Persondata
Name	Geisser, Seymour
Alternative names
Short description	American mathematician
Date of birth	1929
Place of birth
Date of death	2004
Place of death

This article is issued from Wikipedia. The text is available under the Creative Commons Attribution/Share Alike; additional terms may apply for the media files.