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

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

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".