| Matérn cross-covariance functions for multivariate random fields T Gneiting, W Kleiber, M Schlather Journal of the American Statistical Association 105 (491), 1167-1177, 2010 | 529 | 2010 |
| Cross-covariance functions for multivariate geostatistics MG Genton, W Kleiber Statistical Science 30 (2), 147-163, 2015 | 324 | 2015 |
| Daily spatiotemporal precipitation simulation using latent and transformed Gaussian processes W Kleiber, RW Katz, B Rajagopalan Water Resources Research 48 (1), 2012 | 191 | 2012 |
| A Bayesian kriging approach for blending satellite and ground precipitation observations A Verdin, B Rajagopalan, W Kleiber, C Funk Water Resources Research 51 (2), 908-921, 2015 | 100 | 2015 |
| Nonstationary modeling for multivariate spatial processes W Kleiber, D Nychka Journal of Multivariate Analysis 112, 76-91, 2012 | 97 | 2012 |
| Probabilistic solar power forecasting using Bayesian model averaging K Doubleday, S Jascourt, W Kleiber, BM Hodge IEEE Transactions on Sustainable Energy 12 (1), 325-337, 2020 | 85 | 2020 |
| Kriging and local polynomial methods for blending satellite-derived and gauge precipitation estimates to support hydrologic early warning systems A Verdin, C Funk, B Rajagopalan, W Kleiber IEEE Transactions on Geoscience and Remote Sensing 54 (5), 2552-2562, 2016 | 76 | 2016 |
| Locally calibrated probabilistic temperature forecasting using geostatistical model averaging and local Bayesian model averaging W Kleiber, AE Raftery, J Baars, T Gneiting, CF Mass, E Grimit Monthly Weather Review 139 (8), 2630-2649, 2011 | 73 | 2011 |
| A conditional stochastic weather generator for seasonal to multi-decadal simulations A Verdin, B Rajagopalan, W Kleiber, G Podestá, F Bert Journal of Hydrology 556, 835-846, 2018 | 67 | 2018 |
| Coupled stochastic weather generation using spatial and generalized linear models A Verdin, B Rajagopalan, W Kleiber, RW Katz Stochastic Environmental Research and Risk Assessment 29, 347-356, 2015 | 66 | 2015 |
| Geostatistical model averaging for locally calibrated probabilistic quantitative precipitation forecasting W Kleiber, AE Raftery, T Gneiting Journal of the American Statistical Association 106 (496), 1291-1303, 2011 | 61 | 2011 |
| Spatial Bayesian hierarchical modeling of precipitation extremes over a large domain C Bracken, B Rajagopalan, L Cheng, W Kleiber, S Gangopadhyay Water Resources Research 52 (8), 6643-6655, 2016 | 51 | 2016 |
| Daily minimum and maximum temperature simulation over complex terrain W Kleiber, RW Katz, B Rajagopalan Annals of Applied Statistics 7 (1), 588-612, 2013 | 49 | 2013 |
| Multi-sensor fusion using random forests for daily fractional snow cover at 30 m K Rittger, M Krock, W Kleiber, EH Bair, MJ Brodzik, TR Stephenson, ... Remote Sensing of Environment 264, 112608, 2021 | 46 | 2021 |
| A Markov-switching vector autoregressive stochastic wind generator for multiple spatial and temporal scales AS Hering, K Kazor, W Kleiber Resources 4 (1), 70-92, 2015 | 34 | 2015 |
| Spatial-temporal multivariate semi-Bayesian hierarchical framework for extreme precipitation frequency analysis Á Ossandón, B Rajagopalan, W Kleiber Journal of Hydrology 600, 126499, 2021 | 30 | 2021 |
| Coherence for multivariate random fields W Kleiber Statistica Sinica, 1675-1697, 2017 | 29 | 2017 |
| A stochastic downscaling approach for generating high-frequency solar irradiance scenarios W Zhang, W Kleiber, AR Florita, BM Hodge, B Mather Solar Energy 176, 370-379, 2018 | 28 | 2018 |
| Nonstationary matrix covariances: compact support, long range dependence and quasi-arithmetic constructions W Kleiber, E Porcu Stochastic environmental research and risk assessment 29, 193-204, 2015 | 27 | 2015 |
| Modeling spatial data using local likelihood estimation and a Matérn to spatial autoregressive translation A Wiens, D Nychka, W Kleiber Environmetrics, 2020 | 25* | 2020 |
Balaji RajagopalanProfessor, Department of Civil, Env. and Arch. Engineering, University of Colorado, Boulder, CO, USAVerified email at colorado.edu