- Source: 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. 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.
Books
Mathematical Theory of Bayesian Statistics, CRC Press, 2018, ISBN 9781482238068
Algebraic Geometry and Statistical Learning Theory, Cambridge University Press, 2009.
References
External links
Algebraic Geometrical Method in Singular Statistical Estimation. Presentation at Algebraic Statistics Seminar, MSRI, December 17, 2008 (video)
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