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 | |
| Birth Date: | 31 March 1959 |
| Birth Place: | Nakano, Nagano, Japan |
| Fields: | Mathematics |
| Workplaces: | Tokyo Institute of Technology Gifu University |
| 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] |