- Yang Han 0004, Lingjiao Wang, Wei Liu 0030, Frank Bretz. Multiple-Use Calibration for All Future Values and Exact Two-Sided Simultaneous Tolerance Intervals in Linear Regression. J. Comput. Graph. Stat., 34(1):155-161, 2025.
- Andrew Leroux, Ciprian M. Crainiceanu. Dynamic Prediction Using Landmark Historical Functional Cox Regression. J. Comput. Graph. Stat., 34(1):59-71, 2025.
- Yong He, Zichen Liu, Yalin Wang 0020. Distributed Learning for Principal Eigenspaces without Moment Constraints. J. Comput. Graph. Stat., 34(1):318-329, 2025.
- Matthew Heiner, Garritt L. Page, Fernando A. Quintana. A Projection Approach to Local Regression with Variable-Dimension Covariates. J. Comput. Graph. Stat., 34(1):109-122, 2025.
- David T. Frazier, Ruben Loaiza-Maya, Gael M. Martin, Bonsoo Koo. Loss-Based Variational Bayes Prediction. J. Comput. Graph. Stat., 34(1):84-95, 2025.
- David Ginsbourger, Cédric Schärer. Fast Calculation of Gaussian Process Multiple-Fold Cross-Validation Residuals and their Covariances. J. Comput. Graph. Stat., 34(1):1-14, 2025.
- Shuyuan Wu, Jing Zhou, Ke Xu, Hansheng Wang. Class-Distributed Learning for Multinomial Logistic Regression with High Dimensional Features and a Large Number of Classes. J. Comput. Graph. Stat., 34(1):175-186, 2025.
- KiSung You, Dennis L. Shung, Mauro Giuffrè. On the Wasserstein Median of Probability Measures. J. Comput. Graph. Stat., 34(1):253-266, 2025.
- Reza Drikvandi, Reza Modarres. A Distribution-Free Method for Change Point Detection in Non-Sparse High Dimensional Data. J. Comput. Graph. Stat., 34(1):290-305, 2025.
- Taehwa Choi, Seohyeon Park, Hunyong Cho, Sangbum Choi. Interval-Censored Linear Quantile Regression. J. Comput. Graph. Stat., 34(1):187-198, 2025.