Cross-Covariance Functions for Multivariate Geostatistics von Genton, Marc G., Kleiber, William

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Spatial-temporal multivariate semi-Bayesian hierarchical framework for extreme precipitation frequency analysis von Ossandón, Álvaro, Rajagopalan, Balaji, Kleiber, William

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Matérn Cross-Covariance Functions for Multivariate Random Fields von Gneiting, Tilmann, Kleiber, William, Schlather, Martin

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A Bayesian kriging approach for blending satellite and ground precipitation observations von Verdin, Andrew, Rajagopalan, Balaji, Kleiber, William, Funk, Chris

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A Bayesian Logistic Regression for Probabilistic Forecasts of the Minimum September Arctic Sea Ice Cover von Horvath, Sean, Stroeve, Julienne, Rajagopalan, Balaji, Kleiber, William

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COHERENCE FOR MULTIVARIATE RANDOM FIELDS von Kleiber, William

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High resolution simulation of nonstationary Gaussian random fields von Kleiber, William

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Approximate Bayesian computation methods for daily spatiotemporal precipitation occurrence simulation von Olson, Branden, Kleiber, William

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Diagnosing, modeling, and testing a multiplicative stochastic Gent-McWilliams parameterization von Grooms, Ian, Kleiber, William

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Nonstationary modeling for multivariate spatial processes von Kleiber, William, Nychka, Douglas

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A Markov-Switching Vector Autoregressive Stochastic Wind Generator for Multiple Spatial and Temporal Scales von Hering, Amanda S, Kazor, Karen, Kleiber, William

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Approximate B ayesian computation methods for daily spatiotemporal precipitation occurrence simulation von Olson, Branden, Kleiber, William

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Forecasting Magnitude and Frequency of Seasonal Streamflow Extremes Using a Bayesian Hierarchical Framework von Ossandón, Álvaro, Rajagopalan, Balaji, Kleiber, William

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Daily spatiotemporal precipitation simulation using latent and transformed Gaussian processes von Kleiber, William, Katz, Richard W., Rajagopalan, Balaji

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Kriging and Local Polynomial Methods for Blending Satellite-Derived and Gauge Precipitation Estimates to Support Hydrologic Early Warning Systems von Verdin, Andrew, Funk, Chris, Rajagopalan, Balaji, Kleiber, William

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Modeling spatial data using local likelihood estimation and a Matérn to spatial autoregressive translation von Wiens, Ashton, Nychka, Douglas, Kleiber, William

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Probabilistic Solar Power Forecasting Using Bayesian Model Averaging von Doubleday, Kate, Jascourt, Stephen, Kleiber, William, Hodge, Bri-Mathias

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Improving Particle Filter Performance by Smoothing Observations von Robinson, Gregor, Grooms, Ian, Kleiber, William

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Deep variance gamma processes von Berry, Caitlin M., Kleiber, William

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Nonstationary matrix covariances: compact support, long range dependence and quasi-arithmetic constructions von Kleiber, William, Porcu, Emilio

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