Statistical Science

A conversation with Ted Harris

Kenneth S. Alexander

Full-text: Open access

Abstract

Ted Harris was born January 11, 1919, in Philadelphia, Pennsylvania. He grew up in Dallas, Texas, attended Southern Methodist University for two years and completed his undergraduate studies and some graduate work at the University of Texas at Austin. During World War II he served as a weather officer in England in the Army Air Force. He received his Ph.D. in 1947 from Princeton under Sam Wilks. From 1947 to 1966 he was a member of the mathematics department at The Rand Corporation in Santa Monica, California; he headed the department from 1959 to 1965. From 1966 to 1989 he was Professor of Mathematics and Electrical Engineering at the University of Southern California. Since 1989 he has been Professor Emeritus and Lecturer. In 1988 he was elected to the National Academy of Sciences, and in 1989 he received an honorary doctorate from Chalmers Institute of Technology, Sweden. He received an Albert S. Raubenheimer Distinguished Faculty Award in 1985 and a Distinguished Emeritus Award in 1990 from USC.

Article information

Source
Statist. Sci. Volume 11, Number 2 (1996), 150-158.

Dates
First available: 27 November 2002

Permanent link to this document
http://projecteuclid.org/euclid.ss/1038425658

Digital Object Identifier
doi:10.1214/ss/1038425658

Mathematical Reviews number (MathSciNet)
MR1435486

Subjects
Primary:

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References

  • Bellman, R. and Harris, T. (1948). Age-dependent stochastic branching processes. Proc. Nat. Acad. Sci. U.S.A. 34 601- 604.
  • Bellman, R. and Harris, T. (1952). On age-dependent binary branching processes. Ann. of Math. 55 280-295.
  • Harris, T. (1965). Diffusions with collisions between particles. J. Appl. Probab. 2 232-338.
  • Harris, T. (1991). Interacting sy stems, stirrings and flows. In Random Walks, Brownian Motion and Interacting Particle Sy stems 283-293. Birkh¨auser, Boston.
  • Harris, T. and Kahn, H. (1951). The Monte Carlo Method: Estimation of particle transmission. NBS Applied Mathematics. Series 12 27-30.