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
Born31 March 1959
Nakano, Nagano, Japan
Nationality Japan
Alma materKyoto University (M.S., 1984)
Tokyo Institute of Technology (Ph.D., 1993)
Known forWatanabe-Akaike information criterion
singular statistical models
AwardsIchimura Prize for Science (2006)[3]
Scientific career
FieldsMathematics
InstitutionsTokyo Institute of Technology
Gifu University

Books
gollark: Less though.
gollark: How is more abundant fuel not a significant advantage?
gollark: The UK can't get *any* nuclear plant on a reasonable budget and doesn't seem to have any very modern ones.
gollark: The popular opinion on nuclear is wrong.
gollark: No, I mean as far as I know there aren't enough bird deaths for it to be an actual problem.

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".
  4. "Mathematical Theory of Bayesian Statistics - CRC Press Book".


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