Isotropic covariance functions on spheres: Some properties and modeling considerations. - Joseph Guinness; Montserrat Fuentes (J. Multivar. Anal., 2016)

Permutation and Grouping Methods for Sharpening Gaussian Process Approximations. - Joseph Guinness (Technometrics, 2018)

Spatial Shrinkage Via the Product Independent Gaussian Process Prior. - Arkaprava Roy; Brian J. Reich; Joseph Guinness; Russell T. Shinohara; Ana-Maria Staicu (J. Comput. Graph. Stat., 2021)

Gaussian process learning via Fisher scoring of Vecchia's approximation. - Joseph Guinness (Stat. Comput., 2021)

Scalable Gaussian-process regression and variable selection using Vecchia approximations. - Jian Cao 004; Joseph Guinness; Marc G. Genton; Matthias Katzfuss (J. Mach. Learn. Res., 2022)

Scaled Vecchia Approximation for Fast Computer-Model Emulation. - Matthias Katzfuss; Joseph Guinness; Earl Lawrence (SIAM/ASA J. Uncertain. Quantification, 2022)

Nonparametric spectral methods for multivariate spatial and spatial-temporal data. - Joseph Guinness (J. Multivar. Anal., 2022)

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

Sparse Cholesky factorization by greedy conditional selection. - Stephen Huan; Joseph Guinness; Matthias Katzfuss; Houman Owhadi; Florian Schäfer (CoRR, 2023)

Implementation and analysis of GPU algorithms for Vecchia Approximation. - Zachary James; Joseph Guinness (Stat. Comput., 2024)

A Framework for Nonstationary Gaussian Processes with Neural Network Parameters. - Zachary James; Joseph Guinness (CoRR, 2025)