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 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

• Mathematical Theory of Bayesian Statistics, CRC Press, 2018, ISBN 9781482238068
• Algebraic Geometry and Statistical Learning Theory, Cambridge University Press, 2009.

References

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

• Algebraic Geometrical Method in Singular Statistical Estimation. Presentation at Algebraic Statistics Seminar, MSRI, December 17, 2008 (video)