Sequential analysis and the theory of optimal stopping form the core of the academic career of David Oliver Siegmund. Born in St. Louis in 1941, he transitioned from his early education in Missouri to become a central figure in modern mathematical statistics, focusing his research on the complex mechanics of probability theory and gene mapping applications.
Academic Foundation
Siegmund spent his formative years in Webster Groves, Missouri, before pursuing formal mathematical training. He earned a baccalaureate degree from Southern Methodist University in 1963. He later moved to Columbia University, where he completed his doctorate in statistics in 1966 under the supervision of Herbert Robbins. This period at Columbia provided the groundwork for his future contributions to sequential analysis.
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After holding professorial roles at Columbia University, Siegmund joined the faculty at Stanford University in 1976. Over his decades at the institution, he served two terms as the chair of the statistics department. Beyond his primary appointment, he has held visiting positions at several global institutions, including the University of Oxford, the University of Cambridge, the University of Zurich, and the Hebrew University of Jerusalem.
Research and Methodology
His primary scholarship involves the theory of optimal stopping, often collaborating with Herbert Robbins and Yuan-Shih Chow. His publication history reflects this focus, notably the 1971 text Great Expectations: The Theory of Optimal Stopping and his 1985 book Sequential Analysis: Tests and Confidence Intervals. In later years, his work expanded to include the statistics of gene mapping and the control of false discovery rates, as demonstrated in his 2004 research with John D. Storey and Jonathan E. Taylor.
Honors and Institutional Recognition
Siegmund has received multiple accolades throughout his career, beginning with a Fellowship from the Institute of Mathematical Statistics in 1971 and a Guggenheim Fellowship in 1974. He received the Humboldt Prize in 1980 and was an invited speaker at the International Congress of Mathematicians in 1998. He holds memberships in the National Academy of Sciences and the American Academy of Arts and Sciences. In 2023, he was awarded the C. R. and Bhargavi Rao Prize in Statistics.
Fast facts
- Born: 1941, St. Louis
- Doctoral Advisor: Herbert Robbins
- Primary Employer: Stanford University
- Key Field: Sequential Analysis
- National Academy of Sciences Member: 2002
- Doctorate Institution: Columbia University
Questions readers ask
What is David Siegmund's primary area of statistical research?
He specializes in sequential analysis, probability theory, and the application of statistics to DNA sequencing and gene mapping.
Where did David Siegmund complete his Ph.D.?
He earned his doctorate in statistics from Columbia University in 1966.
Achievements
- Held posts at Stanford University
- Fields: statistics, mathematical statistics and probability theory
