Philip Dawid at the Royal Society admissions day in London, July 2018
Alexander Philip Dawid
1 February 1946
|Education||City of London School|
|Alma mater||University of Cambridge (BA, MA, ScD)|
|Awards||Guy Medal (1978, 2001)|
Snedecor Award (1977)
Fellow of the Royal Society (2018)
|Institutions||University College London|
City University, London
Alexander Philip Dawid  (born 1 February 1946) is Emeritus Professor of Statistics of the University of Cambridge, and a Fellow of Darwin College, Cambridge. He is a leading proponent of Bayesian statistics.
Career and research
Dawid has made fundamental contributions to both the philosophical underpinnings and the practical applications of statistics. His theory of conditional independence is a keystone of modern statistical theory and methods, and he has demonstrated its usefulness in a host of applications, including computation in probabilistic expert systems, causal inference, and forensic identification.
Dawid was lecturer in statistics at University College London from 1969 to 1978. He was subsequently Professor of Statistics at City University, London until 1981, when he returned to UCL as a reader, becoming Pearson Professor of Statistics there in 1982. He moved to the University of Cambridge where he was appointed Professor of Statistics in 2007, retiring in 2013.
Awards and honours
He was elected a member of the International Statistical Institute in 1978, and a Chartered Statistician of the Royal Statistical Society in 1993. He was editor of Biometrika from 1992 to 1996 and President of the International Society for Bayesian Analysis in 2000. He is also an elected Fellow of the Institute of Mathematical Statistics. He received the 1977 George W. Snedecor Award from the Committee of Presidents of Statistical Societies. Dawid was awarded the 1978 Guy Medal in Bronze  and the 2001 Guy Medal in Silver by the Royal Statistical Society.
His book Probabilistic Networks and Expert Systems written jointly with Robert G. Cowell, Steffen Lauritzen, and David Spiegelhalter, received the 2001 DeGroot Prize from the International Society for Bayesian Analysis.
- "ALEXANDER PHILIP DAWID : CV" (PDF). Staslab.cam.ac.uk. Retrieved 9 February 2019.
- Philip Dawid publications indexed by Google Scholar
- "Professor Philip Dawid FRS". royalsociety.org. Royal Society. 2018. One or more of the preceding sentences incorporates text from the royalsociety.org website where:
“All text published under the heading 'Biography' on Fellow profile pages is available under Creative Commons Attribution 4.0 International License.” --Royal Society Terms, conditions and policies at the Wayback Machine (archived 2016-11-11)
- Philip Dawid Bio, Neural Information Processing Systems Foundation. Accessed 27 January 2010
- Prof Philip Dawid Authorised Biography at Debrett’s People of Today
- Philip Dawid at the Mathematics Genealogy Project
- Spiegelhalter, David J., A. Philip Dawid, Steffen Lauritzen and Robert G. Cowell "Bayesian analysis in expert systems" in Statistical Science, 8(3), 1993.
- Robert G. Cowell, A. Philip Dawid, David J. Spiegelhalter, "Sequential Model Criticism in Probabilistic Expert Systems." IEEE Trans. Pattern Anal. Mach. Intell. 15(3), 1993 doi:10.1109/34.204903
- A. Philip Dawid, Uffe Kjærulff, Steffen Lauritzen, "Hybrid Propagation in Junction Trees." IPMU 1994 doi:10.1007/BFb0035940
- Past Officers, Board Members and Appointments of ISBA, International Society for Bayesian Analysis. Accessed 27 January 2010
- Honored Fellows, Institute of Mathematical Statistics. Accessed 27 January 2010
- COPPS Awards Recipients. Institute of Mathematical Statistics. Accessed 27 January 2010
- Guy Medal in Bronze, Archived 27 August 2007 at the Wayback Machine Royal Statistical Society. Accessed 27 January 2010
- Guy Medal in Silver, Archived 18 January 2008 at the Wayback Machine Royal Statistical Society. Accessed 27 January 2010
- Probabilistic Networks and Expert Systems (1999, Springer-Verlag)[ISBN missing]
- DeGroot Prize, Archived 3 May 2010 at the Wayback Machine International Society for Bayesian Analysis. Accessed 27 January 2010