John C. Gittins
John C. Gittins | |
|---|---|
| Born | 1938 (age 85–86) |
| Alma mater | University of Cambridge (MA), University of Wales (PhD) University of Oxford (Hon. DSc) |
| Known for | Gittins index |
| Awards | Rollo Davidson Prize (1982) Guy Medal (Silver, 1984) |
| Scientific career | |
| Thesis | Optimal resource allocation in chemical research (1968) |
| Doctoral advisor | Dennis Lindley |
John Charles Gittins (born 1938) is a researcher in
Oxford University
.
He is renowned as the developer of the "Gittins index", which is used for sequential decision-making, especially in research and development in the pharmaceutical industry.[1][2] He has research interests in applied probability, decision analysis and optimal decisions, including optimal stopping and stochastic optimization.
Gittins was an Assistant Director of Research at the Department of Engineering,
Cambridge University from 1967 to 1974. Then he was a lecturer at Oxford University from 1975 to 2005 and head of the Department of Statistics there for 6 years. In 1992, Oxford University awarded him the degree Doctor of Science (D. Sci.)
. In 1996, he became a Professor of Statistics at Oxford University.
He has been awarded the Rollo Davidson Prize (1982) for early-career probabilists, and the Guy Medal in Silver (1984).
Selected publications
- (1989) Multi-Armed Bandit Allocation Indices, Wiley. ISBN 0-471-92059-2
- (1985) (with Bergman, S.W.) Statistical Methods for Pharmaceutical Research Planning, CRC Press. ISBN 0-8247-7146-X
- (2000) (with H. Pezeshk) "How Large Should a Clinical Trial Be?", The Statistician, 49 (2), 177–187 )
- (2001) (with G. Harper) "Bounds on the Performance of a Greedy Algorithm for Probabilities". Mathematics of Operations Research, 26, 313–323
- (2003) "Stochastic Models for the Planning of Pharmaceutical Research", Journal of Statistical Theory and Applications, 2 (2), 198–214.
- (2011) (with K. D. Glazebrook and ISBN 0-470-67002-9
References
External links
| International | |
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| National | |
| Academics | |
| Other | |
