Yoshihiro HIROSE

Associate Professor

Department of Mathematical Sciences Based on Modeling and Analysis, School of Interdisciplinary Mathematical Science, Meiji University

E-mail: hirosey (at) meiji.ac.jp

Career

  • 2021.04 - : Associate Professor, Meiji University

  • 2017.04 - 2021.03: Associate Professor, Hokkaido University

  • 2012.04 - 2017.03: Assistant Professor, The University of Tokyo

  • 2008.04 - 2012.03: Doctoral course, Department of Mathematical Informatics, Graduate School of Information Science and Technology, The University of Tokyo

  • 2006.04 - 2008.03: Master's course, Department of Mathematical Informatics, Graduate School of Information Science and Technology, The University of Tokyo

  • 2006.03: Graduation from Department of Mathematical Engineering and Information Physics, School of Engineering, The University of Tokyo

Degree

Doctor of Information Science and Technology, The University of Tokyo, 2012.

Publications

  • Yoshihiro Hirose (2020). Regularization Methods Based on the Lq-Likelihood for Linear Models with Heavy-Tailed Errors. Entropy, 22, 1036.

  • Marc Härkönen, Tomonari Sei and Yoshihiro Hirose (2020). Holonomic Extended Least Angle Regression. Information Geometry, 3, 149-181.

  • Toyoto Tanaka, Yoshihiro Hirose and Fumiyasu Komaki (2020). Second-Order Matching Prior Family Parametrized by Sample Size and Matching Probability. Statistical Papers, 61, 1701-1717.

  • Kenji Araki, Yoshihiro Hirose and Fumiyasu Komaki (2019). Paired Comparison Models with Age Effects Modeled as Piecewise Quadratic Splines. International Journal of Forecasting, 35, 733-740.

  • Yoshihiro Hirose (2015). An Information-Geometrical Path Algorithm for Poisson Regression. Proceedings of the 60th ISI World Statistics Congress, 2329-2334.

  • Yoshihiro Hirose and Fumiyasu Komaki (2015). An Estimation Procedure for Contingency Table Models Based on the Nested Geometry. Journal of the Japan Statistical Society, 45, 57-75.

  • Yoshihiro Hirose (2014). Generalized Linear Regression and Information Geometry, RIMS Kokyuroku, 1916, 103-122. (in Japanese)

  • Yoshihiro Hirose and Fumiyasu Komaki (2013). Edge Selection Based on the Geometry of Dually Flat Spaces for Gaussian Graphical Models. Statistics and Computing, 23, 793-800.

  • Yoshihiro Hirose and Fumiyasu Komaki (2013). Statistical Estimation Based on the Information Geometry of Dually Flat Spaces. RIMS Kokyuroku, 1834, 26-44. (in Japanese)

  • Yoshihiro Hirose and Fumiyasu Komaki (2010). An Extension of Least Angle Regression Based on the Information Geometry of Dually Flat Spaces. Journal of Computational and Graphical Statistics, 19, 1007-1023.

Presentations (International)

  • 2019.12 Yoshihiro Hirose. Geometrical Approach to Data Science (Invited Speech). 2019 Winter International Symposium on Big-Data, Cybersecurity and IoT, Sapporo, Japan.

  • 2019.08 Yoshihiro Hirose. LARS-type Estimation Procedure for Generalized Linear Models. DSSV2019, Kyoto, Japan.

  • 2017.12 Yoshihiro Hirose. A Decision-theoretic Property of Conditional Normalized Maximum Likelihood Distribution. CMStatistics 2017, London, UK.

  • 2015.09 Yoshihiro Hirose. An Estimation Procedure Based on the Information Geometry of Dually Flat Spaces. RSS 2015 Annual Conference, Exeter, UK.

  • 2015.07 Yoshihiro Hirose. An Information-Geometrical Path Algorithm for Poisson Regression. 60th ISI World Statistical Congress (ISI 2015), Rio de Janeiro, Brazil.

  • 2012.12 Yoshihiro Hirose and Fumiyasu Komaki. An Estimation Method Based on the Information Geometry of Dually Flat Spaces. Young Statisticians Meet -An International Conference, Burdwan, India.

  • 2011.07 Yoshihiro Hirose and Fumiyasu Komaki. An Extension of Least Angle Regression for Graphical Models. The First Wuxi International Statistics Forum, Wuxi, China.

  • 2010.07 Yoshihiro Hirose and Fumiyasu Komaki. An Extended Least Angle Regression for Contingency Tables. LinStat2010, Tomar, Portugal.

  • 2009.11 Yoshihiro Hirose. An Information-Geometrical Extension of Least Angle Regression. Statistics and the Life Sciences, Groningen, The Netherlands.

Awards

  • Outstanding Poster Award 1st Prize, Data Science Statistics & Visualisation (DSSV2019), 2019, Japan.

  • Ogawa research prize, Japan Statistical Society, 2016.

  • Second Position in Poster Session, Young Statisticians Meet -An International Conference, 2012, India.

  • Best Presentation Award, Japanese Joint Statistical Meeting, 2007, Japan.

Grants

  • Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science (JSPS), FY2021-2023.

  • Grant-in-Aid for Young Scientists, Japan Society for the Promotion of Science (JSPS), FY2018-2020.

  • Grant-in-Aid for Young Scientists (B), Japan Society for the Promotion of Science (JSPS), FY2014-2017.

Society

  • Japan Statistical Society

  • Information Processing Society of Japan

Last update: 2021-04-06