Nonstationary modeling for multivariate spatial processes. - William Kleiber; Douglas W. Nychka (J. Multivar. Anal., 2012)

Model Calibration via Deformation. - William Kleiber; Stephan R. Sain; Michael Wiltberger (SIAM/ASA J. Uncertain. Quantification, 2014)

High resolution simulation of nonstationary Gaussian random fields. - William Kleiber (Comput. Stat. Data Anal., 2016)

Kriging and Local Polynomial Methods for Blending Satellite-Derived and Gauge Precipitation Estimates to Support Hydrologic Early Warning Systems. - Andrew Verdin; Chris Funk; Balaji Rajagopalan; William Kleiber (IEEE Trans. Geosci. Remote. Sens., 2016)

Modeling massive multivariate spatial data with the basis graphical lasso. - Mitchell Krock; William Kleiber; Dorit Hammerling; Stephen Becker (CoRR, 2021)

Nonstationary Modeling With Sparsity for Spatial Data via the Basis Graphical Lasso. - Mitchell Krock; William Kleiber; Stephen Becker (J. Comput. Graph. Stat., 2021)

Modeling Massive Highly Multivariate Nonstationary Spatial Data with the Basis Graphical Lasso. - Mitchell Krock; William Kleiber; Dorit Hammerling; Stephen Becker (J. Comput. Graph. Stat., 2023)

Fast Likelihood-Free Parameter Estimation for Lévy Processes. - Nicolas Coloma; William Kleiber (CoRR, 2025)