# Lab. 4 Fumiyasu Komaki

# 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.