Kei Hirose
Kei Hirose
九州大学
Підтверджена електронна адреса в keihirose.com - Домашня сторінка
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Рік
Sparse estimation via nonconcave penalized likelihood in factor analysis model
K Hirose, M Yamamoto
Statistics and Computing 25 (5), 863-875, 2015
632015
Estimation of an oblique structure via penalized likelihood factor analysis
K Hirose, M Yamamoto
Computational Statistics & Data Analysis 79, 120-132, 2014
542014
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
402011
Variable selection via the weighted group lasso for factor analysis models
K Hirose, S Konishi
Canadian Journal of Statistics 40 (2), 345-361, 2012
302012
Tuning parameter selection in sparse regression modeling
K Hirose, S Tateishi, S Konishi
Computational Statistics & Data Analysis 59, 28-40, 2013
252013
NNRMLR: A combined method of nearest neighbor regression and multiple linear regression
H Hirose, Y Soejima, K Hirose
Advanced Applied Informatics (IIAIAAI), 2012 IIAI International Conference …, 2012
232012
Robust sparse Gaussian graphical modeling
K Hirose, H Fujisawa, J Sese
Journal of Multivariate Analysis 161, 172-190, 2017
162017
Efficient algorithm to select tuning parameters in sparse regression modeling with regularization
K Hirose, S Tateishi, S Konishi
arXiv preprint arXiv:1109.2411, 2011
122011
Graphical tool of sparse factor analysis
M Yamamoto, K Hirose, H Nagata
Behaviormetrika 44 (1), 229-250, 2017
112017
Robust relative error estimation
K Hirose, H Masuda
Entropy 20 (9), 632, 2018
82018
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
72016
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
62018
Recent Development in Regression Modeling and L_1 Type Regularization (< Special Section> New Developments in Nonparametric Method)
S Kawano, K Hirose, S Tateishi, S Konishi
Journal of the Japan Statistical Society Japanese issue 39 (2), 211-242, 2010
6*2010
Sparse factor regression via penalized maximum likelihood estimation
K Hirose, M Imada
Statistical Papers 59 (2), 633-662, 2018
52018
Simple structure estimation via prenet penalization
K Hirose, Y Terada
arXiv preprint arXiv:1607.01145, 2016
52016
Creating facial animation of characters via MoCap data
K Hirose, T Higuchi
Journal of Applied Statistics 39 (12), 2583-2597, 2012
42012
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
32014
Bayesian factor analysis and information criterion
K Hirose, S Kawano, S Konishi
Bulletin of informatics and cybernetics 40, 75-87, 2008
32008
ESTIMATING SCALE-FREE NETWORKS VIA THE EXPONENTIATION OF MINIMAX CONCAVE PENALTY
K Hirose, Y Ogura, H Shimodaira
Journal of the Japanese Society of Computational Statistics 28 (1), 139-154, 2015
12015
Full information maximum likelihood estimation in factor analysis with a lot of missing values
K Hirose, S Kim, Y Kano, M Imada, M Yoshida, M Matsuo
arXiv preprint arXiv:1312.5458, 2013
12013
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