Muroya,M., and Hirose, K.. Learning appropriate setting values for “glmnet” package. Forum Mathematics for Industry 2024(FMfi2024) Concorde Hotel, Kuala Lumpur, Malaysia), September 9-11, 2024..
Hirose, K.(招待講演) Factor analysis and its application to energy data analysis. Mathematical Research in Energy Systems I 2 CNER-IMI Joint International Workshop. Hybrid Conference, Kyushu University, Fukuoka, Japan, February 2, 2024.
Hirose, K., Masuda, H., Matsui, H. Aggregation value regression and its application to household demand forecasting. 10th International Congress on Industrial and Applied Mathematics (ICIAM 2023 TOKYO). Waseda University, Tokyo, Japan, August 23, 2023.
Fukasaku, R., Hirose, K., Kabata, Y., Teramoto, K. An algebraic approach to factor analysis. 10th International Congress on Industrial and Applied Mathematics (ICIAM 2023 TOKYO). Waseda University, Tokyo, Japan, August 22, 2023.
Hirose, K.(招待講演) Penalized likelihood approach in multivariate regression with missing values and its application to materials properties prediction. Statistics and Mathematical Modelling in Combination (SMMC 2022). La Trobe University, Melbourne, Australia, November 16-18, 2022.
Hirose, K. (招待講演) Penalized likelihood factor analysis. The 51st Scientific Meeting of the Italian Statistical Society (SIS 2022). University of Campania “Luigi Vanvitelli”, Caserta, Italy, June 22-24, 2022.
Hirose, K., and Teramoto, K. (招待講演) Penalized likelihood approach in multivariate regression with missing values and its application to materials science. The 5th International Conference on Econometrics and Statistics (EcoSta 2022). Hybrid Conference with Zoom, Ryukoku University, Kyoto, Japan. June 4-6, 2022.
Yoshida, W. and Hirose, K. Computationally efficient forecasting algorithm in the SUTSE model and its properties. The 5th International Conference on Econometrics and Statistics (EcoSta 2022). Hybrid Conference with Zoom, Ryukoku University, Kyoto, Japan. June 4-6, 2022.
Hirose, K., Teramoto, K.(招待講演) Sparse multivariate regression with missing values and its application to material properties prediction. IASC-ARS2022 (The 11th Conference of the IASC-ARS). Hybrid Conference with Zoom, Doshisha University, Kyoto, Japan. February 23, 2022.
Hirose, K., and Miura, K.(招待講演) Hierarchical multiclass discriminant analysis via cross-validation. The 4th International Conference on Econometrics and Statistics (EcoSta 2021). Virtual Conference, Hong Kong University of Science and Technology, Hong Kong. June 24-26, 2021.
Hirose, K.(招待講演) Event Effects Estimation on Electricity Load Forecasting. Artificial Intelligence for Operation and Management of Energy Systems. I 2 CNER&IMI International Workshop. Zoom Meeting, January 25, 2021.
Hirose, K., and Teramoto, K. (2019).(招待講演) L1 regularization and its application to polymer. Materials Research Meeting (MRM) 2019. Yokohama, Japan. December 10–14, 2019.
Hirose, K., Miura, K., and Koie, A.(招待講演) Cluster-based multiclass linear discriminant analysis. The 3rd International Conference on Econometrics and Statistics (EcoSta 2019). National Chung Hsing University (NCHU), Taichung, Taiwan. June 25–27, 2019.
Hirose, K., and Terada, Y.(招待講演) Prenet Penalization in Factor Analysis and its Applications. International Conference on Advances in Interdisciplinary Statistics and Combinatorics. University of North Carolina at Greensboro, USA. October 5–7, 2018.
Hirose, K., and Terada, Y.(招待講演) Simple structure estimation via prenet penalization in factor analysis model. The 2nd International Conference on Econometrics and Statistics (EcoSta 2018). City University of Hong Kong, Hong Kong. June 19–21, 2018.
Hirose, K., and Terada, Y.(招待講演) Estimation of well-clustered structure via penalized maximum likelihood method in factor analysis model. 10th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2017). University of London, London, UK. December, 2017.
Hirose, K.(招待講演) Perfect simple structure estimation via extension of quartimin criterion. Conference of the International Federation of Classification Societies (IFCS 2017) . Tokai University, Japan. August, 2017.
Hirose, K., Fujisawa, H.(招待講演) Robust estimation for high-dimensional Gaussian graphical models. The 1st International Conference on Econometrics and Statistics (EcoSta 2017) , Hong Kong University of Science and Technology, Hong Kong. June, 2017.
Hirose, K.(招待講演) Robust estimation for high-dimensional graphical models. Forum “Math-for-Industry” 2016. Science and Engineering Centre, Garden’s Point Campus, Queensland University of Technology, Brisbane, Australia. November 21–23, 2016.
Hirose, K.(招待講演) Robust estimation for sparse Gaussian graphical model. International Conference on Statistical Distributions and Applications ICOSDA 2016. Crowne Plaza, Niagara Falls, Canada. Oct 14–16, 2016.
Hirose, K., and Fujisawa, H.(招待講演) Robust Estimation for Gaussian Graphical Modeling and Its Application to Gene Expression Data. The fifth International Conference on Continuous Optimization. National Graduate Institute for Policy Studies (GRIPS), Tokyo, Japan. August 6–11, 2016.
Hirose, K.(招待講演) Robust Estimation for Sparse Gaussian Graphical Modeling. The 4th Institute of Mathematical Statistics Asia Pacific Rim Meeting (IMS-APRM). The Chinese University of Hong Kong, Hong Kong. June 27–30, 2016.