書いた論文など

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翻訳1. Peter Flach (著)

機械学習 ─データを読み解くアルゴリズムの技法─（amazon）

2017年4月10日 刊行

==============査読あり==============

1. Monden, R., Horikawa, K., Nagai, I & Yanagihara, H. (2024) Coordinate Descent Algorithm of the Group Lasso for Selecting Between-Individual Explanatory Variables in the Three-Mode GMANOVA Model. Intelligent Decision Technologies. 2024

2. Yanaighara, H., Nagai, I., Fukui, K. & Hijikawa, Y. (2023) Ridge parameter optimization using a modified Cp statistic in multivariate generalized ridge regression for the GMANOVA model.  Procedia Comput. Sci., Vol. 225, 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES-2023), (ed. R. Howlett), 1987-1996. DOI:10.1016/j.procs.2023.10.189

3. Monden, R., Nagai, I. & Yanagihara, H. (2023) Implications of the usage of three-mode principal component analysis with a fixed polynomial basis.  Smart Innov. Syst. Tec., Vol. 352, Intelligent Decision Technologies 2023: Proceedings of the 15th KES International Conference on Intelligent Decision Technologies KES-IDT-2023 (eds. I. Czarnowski, R. J. Howlett & L. C. Jain), 214-224. DOI: 10.1007/978-981-99-2969-6_19

4. Horikawa, K., Nagai, I., Monden, R. & Yanagihara, H. (2023) Estimation algorithms for MLE of three-mode GMANOVA model with Kronecker product covariance matrix.  Smart Innov. Syst. Tec., Vol. 352, Intelligent Decision Technologies 2023: Proceedings of the 15th KES International Conference on Intelligent Decision Technologies KES-IDT-2023 (eds. I. Czarnowski, R. J. Howlett & L. C. Jain), 203-213. DOI: 10.1007/978-981-99-2969-6_18

5. Yanagihara, H., Nagai, I., Fukui, K. & Hijikawa, Y. (2023) Modified Cp criterion in widely applicable models. Smart Innov. Syst. Tec., Vol. 352, Intelligent Decision Technologies 2023: Proceedings of the 15th KES International Conference on Intelligent Decision Technologies KES-IDT-2023 (eds. I. Czarnowski, R. J. Howlett & L. C. Jain), 173-182. DOI:10.1007/978-981-99-2969-6_15

6. Nagai, I., Takahashi, K. and Yanagihara, H. (2017) Information Criterion-Based Nonhierarchical Clustering.  International Journal of Knowledge Engineering and Soft Data Paradigms, vol. 6, 1--43.

7. Nagai, I. (2015) Optimization of Penalty Parameter in Penalized Nonlinear Canonical Correlation Analysis by using Cross-Validation. Journal of Mathematics and Statistics, vol.11, 99-106. (pdf)

8. Nagai, I., Fukui, K. and Yanagihara, H. (2013) Choosing the Number of Repetitions in the Multiple Plug-in Optimization Method for the Ridge Parameters in Multivariate Generalized Ridge Regression. Bulletin of Informatics and Cybernetics, vol. 45, 25--35.

9. Fujiwara, M., Minamidani, T., Nagai, I. and Wakaki, H. (2013) Principal Components Regression by using Generalized Principal Components Analysis. Journal of the Japan Statistical Society, vol. 43 (1), 57--78.abstract (PDF)

10. Nagai, I. (2013) Selection of Model Selection Criteria for Multivariate Ridge Regression. Hiroshima Mathematical Journal, Vol. 43 (1), 73～106.HMJのPDF

11. Nagai, I., Yanagihara, H. and Satoh, K. (2012) Optimization of Ridge Parameters in Multivariate Generalized Ridge Regression by Plug-in Methods. Hiroshima Mathematical Journal, Vol. 42 (3), 301～324.HMJのPDF

12. Nagai, I. (2011) Modified Cp Criterion for Optimizing Ridge and Smooth Parameters in the MGR Estimator for the Nonparametric GMANOVA model. Open Journal of Statistics, Vol. 1 (1), 1～14.Open Journal of StatisticsのPDF

13. 栁原 宏和 ・ 永井 勇 ・ 佐藤 健一. (2009) 多変量一般化リッジ回帰におけるリッジパラメータ最適化のためのバイアス補正 Cp 規準. 応用統計学, Vol. 38 (3), 151～172.J-STAGE

==============査読なし (受理され次第, 査読ありに移ります)==============

Hiroshima Statistical Research Group Technical Report

==============学位論文==============

• 1. 博士論文「Selection of Model Selection Criteria for Multivariate Ridge Regression」

  2. 修士論文「多変量一般化リッジ回帰モデルにおけるリッジパラメータの選択法」 .

==============寄稿==============

1. 中京大学 文化会 BUNKA第52号「新入生の皆様へ 様々な不安を超えるために」（文化会 副会長として）