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[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]
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
[edit]- Mathematical Theory of Bayesian Statistics, CRC Press, 2018, ISBN 9781482238068
- Algebraic Geometry and Statistical Learning Theory, Cambridge University Press, 2009.
References
[edit]- ↑ 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".
External links
[edit]- Algebraic Geometrical Method in Singular Statistical Estimation. Presentation at Algebraic Statistics Seminar, MSRI, December 17, 2008 (video)
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Categories:
- 20th-century Japanese mathematicians
- 21st-century Japanese mathematicians
- 1959 births
- Living people
- Academic staff of Tokyo Institute of Technology
- Tokyo Institute of Technology alumni
- Machine learning researchers
- People from Nakano, Tokyo
- Mathematicians from Tokyo
- Asian mathematician stubs
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