


Kei Hirose | Last modified date:2020.06.18 |

Associate Professor /
Division of Advanced Mathematics Technology
Institute of Mathematics for Industry
Institute of Mathematics for Industry
Graduate School
Undergraduate School
Other Organization
E-Mail *Since the e-mail address is not displayed in Internet Explorer, please use another web browser:Google Chrome, safari.
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
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
Research Interests
Awards
- Forecast of energy consumption
keyword : Forecast of energy consumption
2016.04~2018.05. - Development of sparse factor analysis
keyword : Sparse estimation, factor anlaysis
2016.04~2017.03.
Papers
1. | Hirose K., Fujisawa, S. and Sese, J., Robust sparse Gaussian graphical modeling, Journal of Multivariate Analysis, Volume 161, 2017.09. |
- 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


Unauthorized reprint of the contents of this database is prohibited.
