Publications

 

(1) Publications

[1]     Hirose K., Fujisawa, S. and Sese, J.

Robust sparse Gaussian graphical modeling.

Journal of Multivariate Analysis, in press.

[2]     Dolinský, J., Hirose K. and Konishi, S.

Readouts for Echo-State Networks Built using Locally Regularized Orthogonal Forward Regression.

Journal of Applied Statistics, in press.

[3]     Hirose, K. and Imada, M.

Sparse factor regression via penalized maximum likelihood estimation.

Statistical Papers, in press.

[4]     Imada, M., Hirose, K., Yoshida, M., Sunyong, K., Toyozumi, N., Lopez, G. and Kano, Y.

An Interpersonal Sentiment Quantification method applied to Work Relationship Prediction.

NTT Technical Review 15(3), 2017.

[5]     Yamamoto, M., Hirose, K., Nagata, H.

Graphical tool of sparse factor analysis.

Behaviormetrika44(1), 229-250, 2017.

[6]     廣瀬慧.

スパースモデリングとモデル選択.

電子情報通信学会誌,  99巻, 5号, 392-399項, 2016年.

[7]     Hirose, K., Kim, S., Kano, Y., Imada, M., Yoshida, M., and Matsuo, M.

Full information maximum likelihood estimation in factor analysis with a large number of missing values.

Journal of Statistical Computation and Simulation, 86(1), 91-104, 2016.

[8]     Hirose, K.

Editorial: Recent advances in sparse statistical modeling.

Journal of the Japanese Society of Computational Statistics28, 51-52, 2015.

[9]     Hirose, K., Ogura, Y. and Shimodaira, H.

Estimating Scale-Free Networks via the Exponentiation of Minimax Concave Penalty.

Journal of the Japanese Society of Computational Statistics28, 139-154, 2015.

[10]   Hirose, K. and Yamamoto, M.

Sparse estimation via nonconcave penalized likelihood in a factor analysis model.

Statistics and Computing25(5), 863-875. 2015.

[11]   Hirose, K. and Yamamoto, M.

Estimation of an oblique structure via penalized likelihood factor analysis.

Computational Statistics & Data Analysis79, 120-132. 2014.

[12]   Hirose, K., Tateishi, S. and Konishi, S.

Tuning parameter selection in sparse regression modeling.

Computational Statistics & Data Analysis59, 28-40, 2013.

[13]   Hirose, K., and Higuchi, T.

Creating facial animation of characters via MoCap data.

Journal of Applied Statistics39(12), 2583-2597, 2012.

[14]   Hirose, K. and Konishi, S.

Variable selection via the weighted group lasso for factor analysis models.

The Canadian Journal of Statistics, 40(2), 345-361,2012.

[15]   Hirose, K., Kawano, S., Konishi, S. and Ichikawa, M.

Bayesian information criterion and selection of the number of factors in factor analysis models.

Journal of Data Science, 9, 243-259, 2011.

[16]   川野秀一,廣瀬慧,立石正平,小西貞則.

回帰モデリングと L1型正則化法の最近の展開

日本統計学会誌.39巻,2号,211-242頁.2010年.

[17]   Hirose, K., Kawano, S., Miike, D. and Konishi, S.

HYPER-PARAMETER SELECTION IN BAYESIAN STRUCTURAL EQUATION MODELS.

Bulletin of Informatics and Cybernetics42, 54-70, 2010.

[18]   Hirose, K., Kawano, S. and Konishi, S.

BAYESIAN FACTOR ANALYSIS AND INFORMATION CRITERION.

Bulletin of Informatics and Cybernetics40, 75-87, 2008.

(2)  Preprint

[1]     Hirose K.

Simple structure estimation via prenet penalization.

arXiv:1607.01145 (arXiv), 2016.