Sumio Watanabe
Japanese mathematician
From Wikipedia, the free encyclopedia
Sumio Watanabe (渡辺 澄夫, Watanabe Sumio; born 1959) is a Japanese mathematician and engineer working in probability theory, applied algebraic geometry and Bayesian statistics. He is currently[when?] a professor at Tokyo Institute of Technology in the Department of Computational Intelligence and Systems Science.[1] He is the author of the text, Algebraic Geometry and Statistical Learning Theory, which proposes a generalization of Fisher's regular statistical theory to singular statistical models.[2]
Born31 March 1959
AlmamaterKyoto University (M.S., 1984)
Tokyo Institute of Technology (Ph.D., 1993)
Tokyo Institute of Technology (Ph.D., 1993)
AwardsIchimura Prize for Science (2006)[3]
Sumio Watanabe | |
|---|---|
| Born | 31 March 1959 |
| Alma mater | Kyoto University (M.S., 1984) Tokyo Institute of Technology (Ph.D., 1993) |
| Known for | Watanabe-Akaike information criterion singular statistical models |
| Awards | Ichimura Prize for Science (2006)[3] |
| Scientific career | |
| Fields | Mathematics |
| Institutions | Tokyo Institute of Technology Gifu University |
Books
- Mathematical Theory of Bayesian Statistics, CRC Press, 2018, ISBN 9781482238068
- Algebraic Geometry and Statistical Learning Theory, Cambridge University Press, 2009.
