Tadayoshi FUSHIKI
Assistant Professor, Computational Mathematics Group
, Department of Mathematical Analysis and Statistical Inference
E-mail: fushiki
Date of Birth: January, 1976
Education: Bachelor of Engineering, Dept. of Mathematical Engineering and Information Physics, Univ. of Tokyo, 1998.
Master of Engineering, Dept. of Mathematical Engineering and Information Physics, Univ. of Tokyo, 2000.
Doctor of Engineering, Dept. of Mathematical Engineering and Information Physics, Univ. of Tokyo, 2003.
Degree: Doctor of Engineering, University of Tokyo, 2003, Title of Doctoral Thesis: Analysis of predictive perfomance on ensemble learning and Bayesian method.
Employment: 2003.4- 2003.7: Researcher (part-time), The Institute of Statistical Mathematics
2003.7- 2005.3: Assistant Professor, Department of Statistical Methodology, The Institute of Statistical Mathematics
2005.4- present: Assistant Professor, Department of Mathematical Analysis and Statistical Inference, The Institute of Statistical Mathematics
Research
Fields:
Mathematical Engineering
Research
Themes:
Statistical prediction theory, Analysis of social system

Selected Papers
(1) Fushiki, T., Komaki, F. and Aihara, K. (2004): On parametric bootstrapping and Bayesian prediction, Scandinavian Journal of Statistics, 31, 403-416.
(2) Fushiki, T., Komaki, F. and Aihara, K. (2005): Nonparametric bootstrap prediction, Bernoulli, 11, 293-307.
(3) Fushiki, T. (2005): Bootstrap prediction and Bayesian prediction under misspecified models, Bernoulli, 11, 747-758.
(4) Fushiki, T., Horiuchi, S. and Tsuchiya, T. (2006): A maximum likelihood approach to density estimation with semidefinite programming, Neural Computation, 18, 2777-2812.
(5) Fushiki, T. (2009): Estimation of positive semidefinite correlation matrices by using convex quadratic semidefinite programming, Neural Computation, 21, 2028-2048.
(6) Fushiki, T. (2010): Bayesian bootstrap prediction, Journal of Statistical Planning and Inference, 140, 65-74.
(7) Fushiki, T. (2011): Estimation of prediction error by using K-fold cross-validation, Statistics and Computing, 21, 137-146.

Membership of Academic Societies
Japan Statistical Society

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