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W. K. Hastings : ウィキペディア英語版 | W. K. Hastings
W. K. Hastings (born July 21, 1930 in Toronto, Ontario, Canada) is a statistician. He is noted for his contribution to the The Metropolis-Hastings algorithm (or, Hastings-Metropolis algorithm), the most commonly used Markov chain Monte Carlo method (MCMC).〔(W.K. Hastings, Statistician and Developer of the Metropolis-Hastings Algorithm )〕 ==Early Life and Education== He received his B.A. in Applied Mathematics from the University of Toronto in 1953, and then worked from 1955-59 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.
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