Kyushu University Academic Staff Educational and Research Activities Database
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Kei Hirose Last modified date:2020.06.18

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 Reseacher Profiling Tool Kyushu University Pure
Academic Degree
Doctor of Functional Mathematics
Field of Specialization
Statistical Science, Machine Learning
Outline Activities
We are developing practical methods for multivariate analysis that takes the covariance structures into consideration, such as factor analysis, structural equation modeling, graphical models, and canonical discriminant analysis. Specifically, we propose a new method based on structural regularization and clustering based on prediction, develop several numerical algorithms that efficiently compute the estimate of the parameter, and investigate theoretical properties of the estimated parameters. Most of the proposed methods are available for use in the R packages. Recently, I have been working on the forecast of electricity demand.
Research Interests
  • Forecast of energy consumption
    keyword : Forecast of energy consumption
  • Development of sparse factor analysis
    keyword : Sparse estimation, factor anlaysis
Academic Activities
1. Hirose K., Fujisawa, S. and Sese, J., Robust sparse Gaussian graphical modeling, Journal of Multivariate Analysis, Volume 161, 2017.09.
Works, Software and Database
1. .
2. .
  • The following paper

    「Kei Hirose, Yukihiro Ogura and Hidetoshi Shimodaira. Estimating scale-free networks via the exponentiation of minimax concave penalty. Journal of the Japanese Society of Computational Statistics. 28 (1), pp.139-154, 2015」

    and several other papers related to sparse multivariate anlaysis.
Educational Activities
I am in charge of School of Interdisciplinary Science and Innovation, Department of Mathematics, Graduate School of Mathematics, and Graduate School of Systems Life Sciences. Educational activities are conducted through lectures and seminars.
Professional and Outreach Activities
Through joint research with companies and participation in fMFI and SGW, I have developed several statistical methods that can be used for real problems. I have been involved in the COI project for social implementation..