Sumio Watanabe

Japanese mathematician

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

Nakano, Nagano, Japan

Nationality|  Japan
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]

1. ^ Watanabe, Sumio. "CV". Retrieved 15 June 2018.
2. ^ N. Loménie. "IAPR Newsletter: Review of Algebraic Geometry and Statistical Learning Theory". Retrieved 15 June 2018.
3. ^ 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)

Authority control

International|

* ISNI
* VIAF
* WorldCat

National|

* Norway
* Germany
* Israel
* United States
* Japan

Academics|

* CiNii

Other|

* IdRef

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