David Siegmund

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

David O. Siegmund
Born (1941-11-15) November 15, 1941 (age 82)
St. Louis, Missouri, US
Alma materColumbia University
Scientific career
FieldsStatistics
InstitutionsStanford University
Doctoral advisorHerbert Robbins
Doctoral students

Biography

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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

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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

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Selected publications

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  • (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

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  1. ^ p. 114, Reports of the president and of the treasurer, John Simon Guggenheim Memorial Foundation, 1974.
  2. ^ a b c d e 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.
  5. ^ The 2023 Rao Prize Conference, the Department of Statistics, Penn State University
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