2023 | On a nonlinear extension of the principal fitted component model | 유재근; 김경원 | Article |
2022 | On cross-distance selection algorithm for hybrid sufficient dimension reduction | 유재근; 김경원 | Article |
2019 | On fused dimension reduction in multivariate regression | 유재근 | Article |
2020 | On hierarchical clustering in sufficient dimension reduction | 유재근 | Article |
2010 | On the extension of sliced average variance estimation to multivariate regression | 유재근 | Article |
2018 | Partial least squares fusing unsupervised learning | 유재근 | Article |
2024 | Predicting Driver's mental workload using physiological signals: A functional data analysis approach | 유재근; 김경원 | Article |
2022 | Projective resampling estimation of informative predictor subspace for multivariate regression | 유재근 | Article |
2018 | Response dimension reduction: model-based approach | 유재근 | Article |
2021 | SEEDCCA: An Integrated R-Package for Canonical Correlation Analysis and Partial Least Squares | 유재근 | Article |
2016 | Sufficient dimension reduction through informative predictor subspace | 유재근 | Article |
2011 | Unified predictor hypothesis tests in sufficient dimension reduction: A bootstrap approach | 유재근 | Article |
2019 | Unstructured principal fitted response reduction in multivariate regression | 유재근 | Article |