Anthony Christopher Davison | |
---|---|
Born | London, United Kingdom | 28 February 1958
Academic background | |
Education | St. John's College, University of Oxford (B.A. 1980) Imperial College London (M.Sc. 1981, PhD 1984) |
Doctoral advisor | Helen ApSimon Richard L. Smith |
Academic work | |
Discipline | Statistics |
Institutions | University of Texas at Austin University of Oxford EPFL |
Doctoral students | Valérie Chavez-Demoulin |
Website | https://people.epfl.ch/anthony.davison |
Anthony Christopher Davison (born 28 February 1958)[1] is a British mathematical statistician and educator. He made seminal contributions to extreme value theory, likelihood inference and environmental statistics.[2][3]
Education and career
[edit]Davison was born in London. He attended the Warwick School, followed by the St. John's College, University of Oxford, where he obtained a B.A. in mathematics in 1980. He then studied at the Imperial College London and obtained a M.Sc. in statistics in 1981 with a project supervised by Martin Beale. He went on the obtain a Ph.D. in statistics in 1984 at the Imperial College London under the supervision of environmental scientist Helen ApSimon and statistician Richard L. Smith. Between 1984 and 1986, Davison was an assistant professor at the University of Texas at Austin in the United States. He was a lecturer at the Department of Mathematics at the Imperial College London from 1986 to 1989, and a university lecturer at the University of Oxford from 1989 to 1996.[1]
Davison joined École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland in 1996 as a professor of statistics. He became the chair of the statistics department.[1] In 2021, Davison, Holger Rootzén and other published work using the longevity data and extreme value theory to predict the age limit of humans.[4][5][6]
Honours and awards
[edit]Davison was awarded the Guy Medal in Silver of the Royal Statistical Society in 2015.[7] He gave the Medallion lecture of the Institute of Mathematical Statistics in 2018.[8] He is a Fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the International Statistical Institute.[3]
Bibliography
[edit]- Davison, A. C.; Hinkley, D. V. (1997-10-28). Bootstrap Methods and their Application. Cambridge University Press. doi:10.1017/cbo9780511802843. ISBN 978-0-521-57391-7.
- Davison, A. C. (2003-08-04). Statistical Models. Cambridge University Press. doi:10.1017/cbo9780511815850. ISBN 978-0-521-77339-3.
- Davison, Anthony Christopher; Dodge, Yadolah; Wermuth, Nanny, eds. (2005). Celebrating statistics: papers in honour of Sir David Cox on the occasion of his 80th birthday. Oxford statistical science series. Oxford (GB): Oxford University Press. ISBN 978-0-19-856654-0.
- Brazzale, A. R.; Davison, A. C.; Reid, N. (2007-05-31). Applied Asymptotics: Case Studies in Small-Sample Statistics. Cambridge University Press. doi:10.1017/cbo9780511611131. ISBN 978-0-521-84703-2.
References
[edit]- ^ a b c "A. C. Davison Full CV". Scribd.
- ^ "Anthony Davison (EPF Lausanne): Accurate Directional Inference for Vector Parameters". Imperial College London. Retrieved 2023-12-03.
- ^ a b "EPFL People Anthony Davison". EPFL People. Retrieved 2023-12-03.
- ^ Belzile, Léo R.; Davison, Anthony C.; Rootzén, Holger; Zholud, Dmitrii (2021). "Human mortality at extreme age". Royal Society Open Science. 8 (9). arXiv:2001.04507. Bibcode:2021RSOS....802097B. doi:10.1098/rsos.202097. ISSN 2054-5703. PMC 8479337. PMID 34631116.
- ^ Belzile, Léo R.; Davison, Anthony C.; Gampe, Jutta; Rootzén, Holger; Zholud, Dmitrii (2022-03-07). "Is There a Cap on Longevity? A Statistical Review". Annual Review of Statistics and Its Application. 9 (1): 21–45. arXiv:2104.07843. Bibcode:2022AnRSA...9...21B. doi:10.1146/annurev-statistics-040120-025426. ISSN 2326-8298.
- ^ "Want to live forever? Theoretically, you could, study says". France 24. 2021-09-28. Retrieved 2023-12-03.
- ^ Papageorgiou, Nik (2015-02-20). "Anthony Davison wins Guy Medal in Silver".
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(help) - ^ "Institute of Mathematical Statistics | Le Cam, Neyman and Medallion Lecture previews". Retrieved 2023-12-03.