A practical extension of the recursive multi-fidelity model for the emulation of hole closure experiments. - Amanda Muyskens; Kathleen L. Schmidt; Matthew Nelms; Nathan Barton; Jeffrey Florando; Ana Kupresanin; David Rivera (Stat. Anal. Data Min., 2021)

Fast Gaussian Process Posterior Mean Prediction via Local Cross Validation and Precomputation. - Alec M. Dunton; Benjamin W. Priest; Amanda Muyskens (CoRR, 2022)

Scalable Gaussian Process Hyperparameter Optimization via Coverage Regularization. - Killian Wood; Alec M. Dunton; Amanda Muyskens; Benjamin W. Priest (CoRR, 2022)

Partition-Based Nonstationary Covariance Estimation Using the Stochastic Score Approximation. - Amanda Muyskens; Joseph Guinness; Montserrat Fuentes (J. Comput. Graph. Stat., 2022)

Correspondence of NNGP Kernel and the Matern Kernel. - Amanda Muyskens; Benjamin W. Priest; Imène R. Goumiri; Michael D. Schneider (CoRR, 2024)