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| 420 | -- | 425 | Roger W. Hoerl. Ridge Regression: A Historical Context |
| 426 | -- | 433 | Trevor Hastie. Ridge Regularization: An Essential Concept in Data Science |
| 434 | -- | 437 | Jianqing Fan, Runze Li. Comment: Feature Screening and Variable Selection via Iterative Ridge Regression |
| 438 | -- | 442 | Edward I. George, Veronika Rocková. Comment: Regularization via Bayesian Penalty Mixing |
| 443 | -- | 446 | Can M. Le, Keith Levin, Peter J. Bickel, Elizaveta Levina. Comment: Ridge Regression and Regularization of Large Matrices |
| 447 | -- | 450 | Ming Yuan. Comment: From Ridge Regression to Methods of Regularization |
| 451 | -- | 455 | Nam-Hee Choi, Kerby Shedden, Gongjun Xu, Xuefei Zhang, Ji Zhu. Comment: Ridge Regression, Ranking Variables and Improved Principal Component Regression |
| 456 | -- | 458 | Hui Zou. Comment: Ridge Regression - Still Inspiring After 50 Years |
| 459 | -- | 472 | Andrew J. Landgraf, Yoonkyung Lee. Generalized Principal Component Analysis: Projection of Saturated Model Parameters |
| 473 | -- | 485 | Yixin Wang, Stefan Van Aelst. Sparse Principal Component Analysis Based on Least Trimmed Squares |
| 486 | -- | 498 | Qiong Zhang, Youngdeok Hwang. Sequential Model-Based Optimization for Continuous Inputs with Finite Decision Space |
| 499 | -- | 512 | Jianguo Wu, Honglun Xu, Feng Ju, Tzu-Liang (Bill) Tseng. Adaptive Minimum Confidence Region Rule for Multivariate Initialization Bias Truncation in Discrete-Event Simulations |
| 513 | -- | 524 | Qi Gao, Randy C. S. Lai, Thomas C. M. Lee, Yao Li. Uncertainty Quantification for High-Dimensional Sparse Nonparametric Additive Models |
| 525 | -- | 535 | Li-Hsiang Lin, V. Roshan Joseph. Transformation and Additivity in Gaussian Processes |
| 536 | -- | 548 | Qiuzhuang Sun, Zhi Sheng Ye, Yili Hong 0001. Statistical Modeling of Multivariate Destructive Degradation Tests With Blocking |
| 549 | -- | 556 | Abhirup Datta, Hui Zou. A Note on Cross-Validation for Lasso Under Measurement Errors |
| 557 | -- | 558 | Stan Lipovetsky. 2ˆ5 Problems for STEM Education |
| 559 | -- | 0 | Stan Lipovetsky. Handbook of Military and Defense Operations Research |
| 560 | -- | 0 | Stan Lipovetsky. Integrals Related to the Error Function |
| 560 | -- | 561 | Shin Ta Liu. Machine Learning: A Practical Approach on the Statistical Learning |
| 561 | -- | 562 | Peter Wludyka. Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare |
| 561 | -- | 0 | Donald E. Myers. Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach |