Kyushu University Academic Staff Educational and Research Activities Database
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Kei Hirose Last modified date:2021.09.21



Graduate School
Undergraduate School
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Homepage
https://kyushu-u.pure.elsevier.com/en/persons/kei-hirose
 Reseacher Profiling Tool Kyushu University Pure
https://lab.keihirose.com/
https://keihirose.com/
Academic Degree
Doctor of Functional Mathematics
Country of degree conferring institution (Overseas)
No
Field of Specialization
Statistical Science, Machine Learning
Total Priod of education and research career in the foreign country
00years00months
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. Also, I have been working on applied statistics, such as electricity demand forecasting and material properties prediction.
Research
Research Interests
  • Research and development of big data analysis methods for the breakthrough of multi-scale structures
    keyword : adhesion, multi-scale analysis
    2018.11~2028.03.
  • Forecast of energy consumption
    keyword : Forecast of energy consumption
    2016.04~2018.05.
  • Sparse multivariate analysis
    keyword : Sparse estimation, factor anlaysis
    2016.04~2022.03.
Academic Activities
Works, Software and Database
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Awards
  • 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
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.
Social
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..