David Siegmund

David O. Siegmund

Born|  (1941-11-15) November 15, 1941 (age 84)

St. Louis, Missouri, US

Alma mater| Columbia University
Scientific career
Fields| Statistics
Institutions| Stanford University
Doctoral advisor| Herbert Robbins
Doctoral students|

* Josée Dupuis
* Eleanor Feingold
* Hyune-Ju Kim
* Steven Lalley
* Jiayang Sun
* Tze Leung Lai

David Oliver Siegmund (born November 15, 1941)[1] is an American statistician who has worked extensively on sequential analysis.[2]

## Contents

* 1 Biography
* 2 Work
* 3 Awards and honors
* 4 Selected publications
* 5 References
* 6 External links

## Biography

Siegmund grew up in Webster Groves, Missouri. He received his baccalaureate degree, in mathematics, from Southern Methodist University in 1963, and a doctorate in statistics from Columbia University in 1966. His Ph.D. advisor was Herbert Robbins. After being an assistant and then a full professor at Columbia, he went to Stanford University in 1976, where he is currently a professor of statistics. He has served twice as the chair of Stanford's statistics department.[2][3] He has also held visiting positions at Hebrew University of Jerusalem, the University of Zurich, the University of Oxford, and the University of Cambridge.[2]

## Work

Siegmund has written with Herbert Robbins and Yuan-Shih Chow on the theory of optimal stopping. Much of his work has been on sequential analysis, and he has also worked on the statistics of gene mapping.[2]

## Awards and honors

* Guggenheim Fellowship (1974)
* Humboldt Prize (1980)
* Elected to the American Academy of Arts and Sciences (1994)
* Invited Speaker of the International Congress of Mathematicians (1998)[4]
* Elected to the National Academy of Sciences (2002)[2]
* C. R. and Bhargavi Rao Prize in Statistics (2023)[5]

## Selected publications

* (with Y. S. Chow and H. Robbins) Great Expectations: The Theory of Optimal Stopping, Boston: Houghton Mifflin, 1971.
* (with Rupert Miller) Maximally Selected Chi Square Statistics, Biometrics, 38, #4 (December 1982), pp. 1011–1016.
* Sequential Analysis: Tests and Confidence Intervals, New York: Springer, 1985, ISBN 0-387-96134-8.
* (with John D. Storey and Jonathan E. Taylor) Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach, Journal of the Royal Statistical Society, Series B 66, #1 (February 2004), pp. 187–205, doi:10.1111/j.1467-9868.2004.00439.x.

## References

1. ↑ p. 114, Reports of the president and of the treasurer, John Simon Guggenheim Memorial Foundation, 1974.
2. ↑ 2.0 2.1 2.2 2.3 2.4 Biography of David O. Siegmund, David Appell, Proceedings of the National Academy of Sciences 101, #21 (May 25, 2004), pp. 7843–7844, doi:10.1073/pnas.0402953101.
3. ↑ David O. Siegmund, home page at Stanford University. Accessed on line September 17, 2010.
4. ↑ Siegmund, David (1998). "Genetic linkage analysis: An irregular statistical problem". Doc. Math. (Bielefeld) Extra Vol. ICM Berlin, 1998, vol. III. pp. 291–300. https://www.elibm.org/ft/10011586000.
5. ↑ The 2023 Rao Prize Conference, the Department of Statistics, Penn State University

## External links

* David O. Siegmund, home page at Stanford
* David Siegmund at the Mathematics Genealogy Project

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