| Sparse estimation via nonconcave penalized likelihood in factor analysis model K Hirose, M Yamamoto Statistics and Computing 25 (5), 863-875, 2015 | 99 | 2015 |
| Estimation of an oblique structure via penalized likelihood factor analysis K Hirose, M Yamamoto Computational Statistics & Data Analysis 79, 120-132, 2014 | 74 | 2014 |
| Bayesian information criterion and selection of the number of factors in factor analysis models K Hirose, S Kawano, S Konishi, M Ichikawa Journal of Data Science 9 (2), 243-259, 2011 | 47 | 2011 |
| Variable selection via the weighted group lasso for factor analysis models K Hirose, S Konishi Canadian Journal of Statistics 40 (2), 345-361, 2012 | 41 | 2012 |
| NNRMLR: A combined method of nearest neighbor regression and multiple linear regression H Hirose, Y Soejima, K Hirose 2012 IIAI International Conference on Advanced Applied Informatics, 351-356, 2012 | 36 | 2012 |
| Tuning parameter selection in sparse regression modeling K Hirose, S Tateishi, S Konishi Computational Statistics & Data Analysis 59, 28-40, 2013 | 31 | 2013 |
| Robust sparse Gaussian graphical modeling K Hirose, H Fujisawa, J Sese Journal of Multivariate Analysis 161, 172-190, 2017 | 28 | 2017 |
| Graphical tool of sparse factor analysis M Yamamoto, K Hirose, H Nagata Behaviormetrika 44 (1), 229-250, 2017 | 17 | 2017 |
| Sparse and Simple Structure Estimation via Prenet Penalization K Hirose, Y Terada Psychometrika, 1-26, 2022 | 15* | 2022 |
| Robust relative error estimation K Hirose, H Masuda Entropy 20 (9), 632, 2018 | 14 | 2018 |
| Efficient algorithm to select tuning parameters in sparse regression modeling with regularization K Hirose, S Tateishi, S Konishi arXiv preprint arXiv:1109.2411, 2011 | 14 | 2011 |
| Interpretable modeling for short-and medium-term electricity demand forecasting K Hirose Frontiers in Energy Research 9, 724780, 2021 | 13 | 2021 |
| Full information maximum likelihood estimation in factor analysis with a large number of missing values K Hirose, S Kim, Y Kano, M Imada, M Yoshida, M Matsuo Journal of Statistical Computation and Simulation 86 (1), 91-104, 2016 | 13 | 2016 |
| Recent Development in Regression Modeling and L-1 Type Regularization S Kawano, K Hirose, S Tateishi, S Konishi Journal of the Japan Statistical Society 39 (2), 211-242, 2010 | 10 | 2010 |
| Sparse factor regression via penalized maximum likelihood estimation K Hirose, M Imada Statistical Papers 59 (2), 633-662, 2018 | 9 | 2018 |
| Creating facial animation of characters via MoCap data K Hirose, T Higuchi Journal of Applied Statistics 39 (12), 2583-2597, 2012 | 7 | 2012 |
| Hierarchical clustered multiclass discriminant analysis via cross-validation K Hirose, K Miura, A Koie Computational Statistics & Data Analysis 178, 107613, 2023 | 6 | 2023 |
| Readouts for echo-state networks built using locally regularized orthogonal forward regression J Dolinský, K Hirose, S Konishi Journal of Applied Statistics 45 (4), 740-762, 2018 | 6 | 2018 |
| Imaging ground motions in the Tokyo metropolitan area based on MeSO-net using LASSO S Mizusako, H Nagao, M Kano, K Hirose, M Hori AGU Fall Meeting Abstracts 2014, S41E-02, 2014 | 4 | 2014 |
| MHF Preprint Series K Hirose, S Kawano, S Konishi, M Ichikawa | 4* | |
