词条 | Dennis Lindley |
释义 |
| name = Dennis Victor Lindley | birth_date = {{Birth date|df=yes|1923|7|25}} | birth_place = Surbiton, London, England | death_date = {{death date and age|df=yes|2013|12|14|1923|7|25}} | death_place = Somerset | alma_mater = Trinity College, Cambridge | doctoral_advisor = George A. Barnard[1] | doctoral_students = Adrian Smith John Gittins Thomas H. Leonard | known_for = Bayesian statistics, Lindley's Paradox, Lindley equation, Cromwell's Rule | awards = Guy Medal {{small|(Silver, 1968) (Gold, 2002)}} }} Dennis Victor Lindley (25 July 1923 – 14 December 2013) was an English statistician, decision theorist and leading advocate of Bayesian statistics. BiographyLindley grew up in the south-west London suburb of Surbiton. He was an only child and his father was a local building contractor. Lindley recalled (to Adrian Smith) that the family had "little culture" and that both his parents were "proud of the fact that they had never read a book." The school Lindley attended, Tiffin School, introduced him to "ordinary cultural activities."[2] From there Lindley went to read mathematics at Trinity College, Cambridge in 1941. During the war the degree course lasted only two years and, on finishing, Lindley had a choice between entering the armed forces and joining the Civil Service as a statistician. He chose the latter and, after taking a short course given by Oscar Irwin which he "did not understand", he joined a section of the Ministry of Supply doing statistical work under George Barnard. After the war Lindley spent some time at the National Physical Laboratory before returning to Cambridge for a further year of study. From 1948 to 1960 he worked at Cambridge, starting as a demonstrator and leaving as director of the Statistical Laboratory. In 1960 Lindley left to take up a new chair at Aberystwyth. In 1967 he moved to University College London. In 1977 Lindley took early retirement at the age of 54. From then until 1987 he travelled the world as an "itinerant scholar", and later continued to write and to attend conferences. He was awarded the Royal Statistical Society's Guy Medal in Gold in 2002. Lindley first encountered statistics as a set of techniques and in his early years at Cambridge he worked to find a mathematical basis for the subject. His lectures on probability were based on Kolmogorov's approach which at that time had no following in Britain. In 1954 Lindley met Savage who was also looking for a deeper justification of the ideas of Neyman, Pearson, Wald and Fisher. Both found that justification in Bayesian theory and they turned into critics of the classical statistical inference they had hoped to justify. Lindley became a great missionary for the Bayesian gospel. The atmosphere of the Bayesian revival is captured in a comment by Rivett on Lindley's move to University College London and the premier chair of statistics in Britain: "it was as though a Jehovah's Witness had been elected Pope." In 1959 he was elected as a Fellow of the American Statistical Association.[3] In 2000, the International Society for Bayesian Analysis created the Lindley prize in his honour[2]. Publications{{Quote box |quoted=true |bgcolor=#FFFFF0 |salign=center| quote = Uncertainty is a personal matter; it is not the uncertainty but your uncertainty. | source = Dennis Lindley, Understanding Uncertainty (2006) | width = 50% | align= right }}
References1. ^{{MathGenealogy|id=81763}} 2. ^1 [https://web.archive.org/web/20010219193213/http://www.bayesian.org/awards/LindleyPrize.html "The Lindley Prize – Dennis V. Lindley"], International Society for Bayesian Analysis, accessed 28 June 2008 3. ^View/Search Fellows of the ASA, accessed 2016-07-23. Sources
External links{{wikiquote}}
10 : 1923 births|2013 deaths|People from Surbiton|English statisticians|Bayesian statisticians|Alumni of Trinity College, Cambridge|Academics of Aberystwyth University|Academics of University College London|People educated at Tiffin School|Fellows of the American Statistical Association |
随便看 |
|
开放百科全书收录14589846条英语、德语、日语等多语种百科知识,基本涵盖了大多数领域的百科知识,是一部内容自由、开放的电子版国际百科全书。