A consistent variable selection method in high-dimensional canonical discriminant analysis R Oda, Y Suzuki, H Yanagihara, Y Fujikoshi Journal of Multivariate Analysis 175, 104561, 2020 | 18 | 2020 |
A fast and consistent variable selection method for high-dimensional multivariate linear regression with a large number of explanatory variables R Oda, H Yanagihara Electronic Journal of Statistics 14 (1), 1386-1412, 2020 | 17 | 2020 |
A consistent likelihood-based variable selection method in normal multivariate linear regression R Oda, H Yanagihara Intelligent Decision Technologies: Proceedings of the 13th KES-IDT 2021 …, 2021 | 6 | 2021 |
High-dimensional asymptotic behavior of the difference between the log-determinants of two Wishart matrices H Yanagihara, R Oda, Y Hashiyama, Y Fujikoshi Journal of Multivariate Analysis 157, 70-86, 2017 | 5 | 2017 |
A high-dimensional bias-corrected AIC for selecting response variables in multivariate calibration R Oda, Y Mima, H Yanagihara, Y Fujikoshi Communications in Statistics-Theory and Methods 50 (14), 3453-3476, 2021 | 3 | 2021 |
Consistent variable selection criteria in multivariate linear regression even when dimension exceeds sample size R Oda Hiroshima Mathematical Journal 50 (3), 339-374, 2020 | 3 | 2020 |
Asymptotic null and non-null distributions of test statistics for redundancy in high-dimensional canonical correlation analysis R Oda, H Yanagihara, Y Fujikoshi Random Matrices: Theory and Applications 8 (01), 1950001, 2019 | 3 | 2019 |
Strong consistency of log-likelihood-based information criterion in high-dimensional canonical correlation analysis R Oda, H Yanagihara, Y Fujikoshi Sankhya A 83, 109-127, 2021 | 2 | 2021 |
Coordinate descent algorithm for normal-likelihood-based group Lasso in multivariate linear regression H Yanagihara, R Oda Intelligent Decision Technologies: Proceedings of the 13th KES-IDT 2021 …, 2021 | 1 | 2021 |
Forensic discrimination of fiber microspectrophotometry data by resampling and repeating two-sample hypothesis testing H Itamiya, R Oda, H Yanagihara, M Kasamatsu, K Tsuge Microchemical Journal 206, 111440, 2024 | | 2024 |
Ciliochoroidal Detachment After Intrascleral Lens Fixation Using the Yamane Technique A Sadahide, H Ohara, R Oda, Y Harada Cureus 16 (8), 2024 | | 2024 |
On model selection consistency using a kick-one-out method for selecting response variables in high-dimensional multivariate linear regression R Oda, H Yanagihara, Y Fujikoshi Communications in Statistics-Theory and Methods, 1-15, 2024 | | 2024 |
A Clinical Trial Evaluating the Efficacy of Deep Learning-Based Facial Recognition for Patient Identification in Diverse Hospital Settings A Sadahide, H Itoh, K Moritou, H Kameyama, R Oda, H Tabuchi, Y Kiuchi Bioengineering 11 (4), 384, 2024 | | 2024 |
An -norm constrained matrix optimization via extended discrete first-order algorithms R Oda, M Ohishi, Y Suzuki, H Yanagihara Hiroshima Mathematical Journal 53 (3), 251-267, 2023 | | 2023 |
デジタル・リーディングにおけるスクロール方略の分類と判別アルゴリズムの検討 尾原健太, 氏間和仁, 小田凌也, 福井敬祐 日本教育工学会論文誌 47 (2), 197-205, 2023 | | 2023 |
Kick-One-Out-Based Variable Selection Method Using Ridge-Type Criterion in High-Dimensional Multi-response Linear Regression Models R Oda International KES Conference on Intelligent Decision Technologies, 193-202, 2023 | | 2023 |
中学校家庭科における幼児との長期的なふれあい体験活動の検討―中学生の対児感情から― 伊藤優, 福井敬祐, 小田凌也 日本家政学会誌 74 (7), 363-377, 2023 | | 2023 |
Growth Curve Model with Bilinear Random Coefficients S Imori, D von Rosen, R Oda Sankhya A, 1-32, 2020 | | 2020 |
異なった GMANOVA モデルにおける最小重み付き残差平方和の差の分布形 (Bayes Inference and Its Related Topics) 小田凌也, 栁原宏和 数理解析研究所講究録 2047, 107-123, 2017 | | 2017 |