Showing 1–20 of 25 results
/ Date/ Name
Apr 27, 2020Nonstationary Bayesian modeling for a large data set of derived surface temperature return valuesApr 10, 2026Surface temperature extremes produced by huge machine learning hindcasts of summer 2023Mar 29, 2017Spatially-Dependent Multiple Testing Under Model Misspecification, with Application to Detection of Anthropogenic Influence on Extreme Climate EventsAug 19, 2016Nonstationary Spatial Prediction of Soil Organic Carbon: Implications for Stock Assessment Decision MakingAug 13, 2024Granger causal inference for climate change attributionJul 11, 2018A probabilistic gridded product for daily precipitation extremes over the United StatesFeb 15, 2019Detected changes in precipitation extremes at their native scales derived from in situ measurementsOct 6, 2014Regression-based covariance functions for nonstationary spatial modelingJul 30, 2015Local likelihood estimation for covariance functions with spatially-varying parameters: the convoSPAT package for ROct 7, 2016Review: Nonstationary Spatial Modeling, with Emphasis on Process Convolution and Covariate-Driven ApproachesNov 7, 2024Compactly-supported nonstationary kernels for computing exact Gaussian processes on big dataNov 12, 2019The effect of geographic sampling on evaluation of extreme precipitation in high resolution climate modelsOct 30, 2019Bayesian inference for high-dimensional nonstationary Gaussian processesJun 28, 2016Quantifying the effect of interannual ocean variability on the attribution of extreme climate events to human influenceAug 6, 2024Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural OperatorsAug 2, 2024Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural OperatorsJul 25, 2023A flexible class of priors for orthonormal matrices with basis function-specific structureDec 5, 2025gp2Scale: A Class of Compactly-Supported Non-Stationary Kernels and Distributed Computing for Exact Gaussian Processes on 10 Million Data PointsJul 7, 2023Explaining the unexplainable: leveraging extremal dependence to characterize the 2021 Pacific Northwest heatwaveMar 18, 2026Wasserstein-type Gaussian Process Regressions for Input Measurement Uncertainty