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Sumio Watanabe

From Wikipedia, the free encyclopedia

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
Born31 March 1959
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

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References

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  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".
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