W. K. Hastings Explained

W. K. Hastings
Birth Date:July 21, 1930
Birth Place:Toronto, Ontario, Canada
Death Place:Victoria, British Columbia, Canada[1]
Fields:Statistics
Workplaces:University of Canterbury
Bell Labs
University of Toronto
University of Victoria
Alma Mater:University of Toronto
Thesis Title:Invariant Fiducial Distributions
Thesis Url:https://librarysearch.library.utoronto.ca/permalink/01UTORONTO_INST/14bjeso/alma991106459155606196
Thesis Year:1962
Doctoral Advisors:Donald A. S. Fraser
Geoffrey Watson
Doctoral Students:Peter Peskun
Known For:Metropolis–Hastings algorithm

Wilfred Keith Hastings (July 21, 1930 – May 13, 2016[2]) was a Canadian statistician. He was noted for his contribution to the Metropolis–Hastings algorithm (or, Hastings–Metropolis algorithm), the most commonly used Markov chain Monte Carlo method (MCMC).[3]

Early life and education

He received his B.A. in applied mathematics from the University of Toronto in 1953, and then worked from 1955 to 1959 for the Toronto company H.S. Gellman & Co.

Hastings received his M.A. in 1958, and his Ph.D. in 1962, both from the University of Toronto's department of mathematics (which included statistics at that time). His Ph.D. thesis title was "Invariant Fiducial Distributions". His Ph.D. supervisor was initially Don Fraser and later Geoffrey Watson.

Work

After completing his Ph.D., Hastings worked briefly at the University of Canterbury in New Zealand (1962–64), and at Bell Labs in New Jersey (1964–66). From 1966 to 1971, Hastings was an associate professor in the department of mathematics at the University of Toronto. During this period, he wrote his famous paper on Markov chain Monte Carlo sampling.[4]

While at the University of Toronto, Hastings also supervised his one Ph.D. student, Peter Peskun (now at York University), whose 1970 dissertation "The Choice Of Transition Matrix In Monte Carlo Sampling Methods Using Markov Chains" developed the Peskun ordering on Markov chain kernels.

In 1971, Hastings joined the department of mathematics at the University of Victoria (in British Columbia, on the west coast of Canada) as an associate professor, and was granted tenure there in 1974. He taught at Victoria for 21 years, usually teaching six one-semester courses per year. He did not supervise any more Ph.D. students, but he did supervise two M.Sc. students, and serve on the committees of four Ph.D. and two M.Sc. students. He held NSERC research grants from 1969 to 1980.

Hastings retired from the University of Victoria in 1992.

Notes and References

  1. Web site: W.K. Hastings, Statistician and Developer of the Metropolis-Hastings Algorithm . 2023-02-28 . probability.ca.
  2. Web site: W.K. Hastings, Statistician and Developer of the Metropolis-Hastings Algorithm.
  3. http://probability.ca/hastings/ W.K. Hastings, Statistician and Developer of the Metropolis–Hastings Algorithm
  4. Hastings. Monte Carlo Sampling Methods Using Markov Chains and Their Applications. WK. Biometrika. 1970. 57. 97–109. 10.1093/biomet/57.1.97.