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