Sumio Watanabe
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 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]
Sumio Watanabe | |
|---|---|
| Born | 31 March 1959 |
| Nationality |  |
| 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[4]
- Algebraic Geometry and Statistical Learning Theory, Cambridge University Press, 2009.
gollark: Technically, that's not natural numbers but integers.
gollark: Amazing.
gollark: There are, and they're "randomy" through monadic IO stuff.
gollark: I don't think you can, it's a weird syntax exception.
gollark: too
References
- Watanabe, Sumio. "CV". Retrieved 15 June 2018.
- N. Loménie. "IAPR Newsletter: Review of Algebraic Geometry and Statistical Learning Theory". Retrieved 15 June 2018.
- Ichimura Foundation for New Technology. "38th Past Awards List / Ichimura Prize Presentation".
- "Mathematical Theory of Bayesian Statistics - CRC Press Book".
External Links
- Algebraic Geometrical Method in Singular Statistical Estimation at Algebraic Statistics Seminar, MSRI, December 17, 2008 (video)
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