1. A Bayesian kriging approach for blending satellite and ground precipitation observations. Issue 2 (11th February 2015) Authors: Verdin, Andrew; Rajagopalan, Balaji; Kleiber, William; Funk, Chris Journal: Water resources research Issue: Volume 51:Issue 2(2015:Feb.) Page Start: 908 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. A Bayesian Logistic Regression for Probabilistic Forecasts of the Minimum September Arctic Sea Ice Cover. Issue 10 (9th October 2020) Authors: Horvath, Sean; Stroeve, Julienne; Rajagopalan, Balaji; Kleiber, William Journal: Earth and space science Issue: Volume 7:Issue 10(2020) Page Start: n/a Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. A nonstationary and non‐Gaussian moving average model for solar irradiance. Issue 3 (5th December 2021) Authors: Zhang, Wenqi; Kleiber, William; Hodge, Bri‐Mathias; Mather, Barry Journal: Environmetrics Issue: Volume 33:Issue 3(2022) Page Start: n/a Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. A stochastic downscaling approach for generating high-frequency solar irradiance scenarios. (December 2018) Authors: Zhang, Wenqi; Kleiber, William; Florita, Anthony R.; Hodge, Bri-Mathias; Mather, Barry Journal: Solar energy Issue: Volume 176(2018) Page Start: 370 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Approximate Bayesian computation methods for daily spatiotemporal precipitation occurrence simulation. Issue 4 (24th April 2017) Authors: Olson, Branden; Kleiber, William Journal: Water resources research Issue: Volume 53:Issue 4(2017) Page Start: 3352 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. BayGEN: A Bayesian Space‐Time Stochastic Weather Generator. Issue 4 (8th April 2019) Authors: Verdin, Andrew; Rajagopalan, Balaji; Kleiber, William; Podestá, Guillermo; Bert, Federico Journal: Water resources research Issue: Volume 55:Issue 4(2019) Page Start: 2900 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Diagnosing, modeling, and testing a multiplicative stochastic Gent-McWilliams parameterization. (January 2019) Authors: Grooms, Ian; Kleiber, William Journal: Ocean modelling Issue: Volume 133(2019) Page Start: 1 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Emulating and Calibrating the Multiple-Fidelity Lyon–Fedder–Mobarry Magnetosphere–Ionosphere Coupled Computer Model. Issue 1 (27th May 2014) Authors: Heaton, Matthew J.; Kleiber, William; Sain, Stephan R.; Wiltberger, Michael Journal: Journal of the Royal Statistical Society Issue: Volume 64:Issue 1(2015:Jan.) Page Start: 93 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Emulating and calibrating the multiple‐fidelity Lyon–Fedder–Mobarry magnetosphere–ionosphere coupled computer model. Issue 1 (27th May 2014) Authors: Heaton, Matthew J.; Kleiber, William; Sain, Stephan R.; Wiltberger, Michael Journal: Journal of the Royal Statistical Society Issue: Volume 64:Issue 1(2015:Jan.) Page Start: 93 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. Modeling spatial data using local likelihood estimation and a Matérn to spatial autoregressive translation. Issue 6 (16th September 2020) Authors: Wiens, Ashton; Nychka, Douglas; Kleiber, William Journal: Environmetrics Issue: Volume 31:Issue 6(2020) Page Start: n/a Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗