Statistical Science

A Conversation with John Hartigan

Daniel Barry

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Abstract

John Anthony Hartigan was born on July 2, 1937 in Sydney, Australia. He attended the University of Sydney, earning a B.Sc. degree in mathematics in 1959 and an M.Sc. degree in mathematics the following year. In 1960 John moved to Princeton where he studied for his Ph.D. in statistics under the guidance of John Tukey and Frank Anscombe. He completed his Ph.D. in 1962, and worked as an Instructor at Princeton in 1962–1963, and as a visiting lecturer at the Cambridge Statistical Laboratory in 1963–1964. In 1964 he joined the faculty at Princeton. He moved to Yale as Associate Professor with tenure in 1969, became a Professor in 1972 and, in 1983, became Eugene Higgins Professor of Statistics at Yale—a position previously held by Jimmie Savage. He served as Chairman of the Statistics Department at Yale from 1973 to 1975 and again from 1988 to 1994. John was instrumental in the establishment of the Social Sciences Statistical Laboratory at Yale and served as its Director from 1985 to 1989 and again from 1991 to 1993. He served as Chairman of the National Research Council Committee on the General Aptitude Test Battery from 1987 to 1990. John’s research interests cover the foundations of probability and statistics, classification, clustering, Bayes methods and statistical computing. He has published over 80 journal papers and two books: Clustering Algorithms in 1975 and Bayes Theory in 1983. He is a Fellow of the American Statistical Association and of the Institute of Mathematical Statistics. He served as President of the Classification Society from 1978 to 1980 and as Editor of Statistical Science from 1984 to 1987. John married Pamela Harvey in 1960. They have three daughters and three grandchildren.

Article information

Source
Statist. Sci. Volume 20, Number 4 (2005), 418-430.

Dates
First available in Project Euclid: 12 January 2006

Permanent link to this document
https://projecteuclid.org/euclid.ss/1137076661

Digital Object Identifier
doi:10.1214/088342304000000242

Mathematical Reviews number (MathSciNet)
MR2210228

Zentralblatt MATH identifier
1130.01302

Citation

Barry, Daniel. A Conversation with John Hartigan. Statist. Sci. 20 (2005), no. 4, 418--430. doi:10.1214/088342304000000242. https://projecteuclid.org/euclid.ss/1137076661.


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References

  • Forsythe, A. and Hartigan, J. A. (1970). Efficiency of confidence intervals generated by repeated subsample calculations. Biometrika 57 629--639.
  • Hartigan, J. A. (1964). Invariant prior distributions. Ann. Math. Statist. 35 836--845.
  • Hartigan, J. A. (1965). The asymptotically unbiased prior distribution. Ann. Math. Statist. 36 1137--1152.
  • Hartigan, J. A. (1966a). Probabilistic completion of a knockout tournament. Ann. Math. Statist. 37 495--503.
  • Hartigan, J. A. (1966b). Estimation by ranking parameters. J. Roy. Statist. Soc. Ser. B 28 32--44.
  • Hartigan, J. A. (1969). Using subsample values as typical values. J. Amer. Statist. Assoc. 64 1303--1317.
  • Hartigan, J. A. (1971). Error analysis by replaced samples. J. Roy. Statist. Soc. Ser. B 33 98--110.
  • Hartigan, J. A. (1975a). Necessary and sufficient conditions for asymptotic joint normality of a statistic and its subsample values. Ann. Statist. 3 573--580.
  • Hartigan, J. A. (1975b). Clustering Algorithms. Wiley, New York.
  • Hartigan, J. A. (1983). Bayes Theory. Springer, New York.
  • Hartigan, J. A. (1998). The maximum likelihood prior. Ann. Statist. 26 2083--2103.
  • Stein, C. (1956). Inadmissibility of the usual estimator for the mean of a multivariate normal distribution. Proc. Third Berkeley Symp. Math. Statist. Probab. 1 197--206. Univ. California Press.