Profile
Fumiyasu Komaki
Department of Mathematical Informatics, Graduate School of Information Science and Technology, University of Tokyo Professor
7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656 Eng. 6 Bldg. Room 349
Tel: +81-3-5841-6941 (ext. 26941)
Fax:+81-3-5841-8592
E-mail： komaki@mist.i.u-tokyo.ac.jp
Curriculum Vitae
| Mar. 1987 | Bachelor degree from Department of Mathematical Engineering and Instrumentation Physics, Faculty of Engineering, The University of Tokyo |
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| Mar. 1989 | Master degree from Department of Mathematical Engineering and Information Physics, Graduate School of Engineering, The University of Tokyo |
| Mar. 1992 | Ph. D. from Department of Statistical Science, School of Mathematical and Physical Science, The Graduate University for Advanced Studies |
| Apr. 1992 | Research Associate, Department of Mathematical Engineering and Information Physics, Faculty of Engineering, The University of Tokyo |
| Apr. 1995 | Associate Professor, The Institute of Statistical Mathematics, Ministry of Education, Science and Culture |
| Oct. 1998 | Associate Professor, Department of Mathematical Engineering and Information Physics, Graduate School of Engineering, The University of Tokyo |
| Apr. 2001 | Associate Professor, Department of Mathematical Informatics, Graduate School of Information Science and Technology, The University of Tokyo |
| Aug. 2009 | Professor, Department of Mathematical Informatics, Graduate School of Information Science and Technology, The University of Tokyo |
Research Themes
1. Theoretical Statistics
Bayes theory, Prediction theory, Information geometry
2. Statistical Modeling
Statistical models and data analysis in neuroscience and seismology.
Selected papers
- Shibue, R. and Komaki, F. (2017). Firing rate estimation using infinite mixture models and its application to neural decoding,
Journal of Neurophysiology, vol. 118, 2902–29. - Yano, K. and Komaki, F. (2017). Asymptotically minimax prediction in infinite sequence models,
Electronic Journal of Statistics, vol. 11, 3165-3195. - Kojima, M. and Komaki, F. (2016). Relations between the conditional normalized maximum likelihood distributions and the latent information priors,
IEEE Transactions on Information Theory, vol. 62, pp. 539-553. - Matsuda, T. and Komaki, F. (2015). Singular value shrinkage priors for Bayesian prediction, Biometrika, vol. 102, pp. 843-854.