A Conversation with A. Philip Dawid

Vladimir Vovk, Glenn Shafer
{"title":"A Conversation with A. Philip Dawid","authors":"Vladimir Vovk, Glenn Shafer","doi":"arxiv-2312.00632","DOIUrl":null,"url":null,"abstract":"Beginning in the 1970s, Alexander Philip Dawid has been a leading contributor\nto the foundations of statistics and especially to the development and\napplication of Bayesian statistics. He is also known for his work on causality,\nespecially his notation for conditional independence and his critique of the\noveruse of counterfactuals, and for his contributions to forensic statistics. Dawid was born in Lancashire, England, on February 1, 1946. His family moved\nto London soon afterwards, and he attended the City of London School from 1956\nto 1963. He studied mathematics at Cambridge, earning a BA (Bachelor of Arts)\ndegree in 1966. After earning a Diploma in Mathematical Statistics in the\nacademic year 1966-1967, he studied for a PhD at Imperial, then at UCL, where\nhe became a Lecturer in Statistics in 1969. In 1978, he left UCL for a position\nas Professor of Statistics in the Department of Mathematics, The City\nUniversity, London, where he served as Head of Statistics Section and Director\nof the Statistical Laboratory. He returned to the Department of Statistics at\nUCL in 1981, serving as Head of Department from 1983 to 1993. He moved to the\nUniversity of Cambridge in 2007, becoming Professor of Statistics and Fellow of\nDarwin College. He has continued his work in mathematical statistics after\nretiring from Cambridge in 2013 and was elected Fellow of the Royal Society in\n2018.","PeriodicalId":501323,"journal":{"name":"arXiv - STAT - Other Statistics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - STAT - Other Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2312.00632","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Beginning in the 1970s, Alexander Philip Dawid has been a leading contributor to the foundations of statistics and especially to the development and application of Bayesian statistics. He is also known for his work on causality, especially his notation for conditional independence and his critique of the overuse of counterfactuals, and for his contributions to forensic statistics. Dawid was born in Lancashire, England, on February 1, 1946. His family moved to London soon afterwards, and he attended the City of London School from 1956 to 1963. He studied mathematics at Cambridge, earning a BA (Bachelor of Arts) degree in 1966. After earning a Diploma in Mathematical Statistics in the academic year 1966-1967, he studied for a PhD at Imperial, then at UCL, where he became a Lecturer in Statistics in 1969. In 1978, he left UCL for a position as Professor of Statistics in the Department of Mathematics, The City University, London, where he served as Head of Statistics Section and Director of the Statistical Laboratory. He returned to the Department of Statistics at UCL in 1981, serving as Head of Department from 1983 to 1993. He moved to the University of Cambridge in 2007, becoming Professor of Statistics and Fellow of Darwin College. He has continued his work in mathematical statistics after retiring from Cambridge in 2013 and was elected Fellow of the Royal Society in 2018.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
对话A. Philip david
从20世纪70年代开始,亚历山大·菲利普·大卫一直是统计学基础的主要贡献者,特别是贝叶斯统计的发展和应用。他也因其对因果关系的研究而闻名,特别是他对条件独立的注解和对过度使用反事实的批评,以及他对法医统计的贡献。大卫于1946年2月1日出生在英格兰兰开夏郡。此后不久,他的家人搬到了伦敦,1956年至1963年,他就读于伦敦城市学校。他在剑桥大学学习数学,并于1966年获得文学学士学位。在1966-1967学年获得数理统计文凭后,他先后在帝国理工学院和伦敦大学学院攻读博士学位,并于1969年成为伦敦大学学院统计学讲师。1978年,他离开伦敦大学学院,在伦敦城市大学数学系担任统计学教授,担任统计科主任和统计实验室主任。他于1981年回到伦敦大学学院统计系,1983年至1993年担任系主任。他于2007年移居剑桥大学,成为统计学教授和达尔文学院研究员。2013年从剑桥大学退休后,他继续从事数理统计方面的工作,并于2018年当选为英国皇家学会会员。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Censored Data Forecasting: Applying Tobit Exponential Smoothing with Time Aggregation How to survive the Squid Games using probability theory Cross-sectional personal network analysis of adult smoking in rural areas Modeling information spread across networks with communities using a multitype branching process framework Asymptotic confidence intervals for the difference and the ratio of the weighted kappa coefficients of two diagnostic tests subject to a paired design
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1