A new non-Gaussian spatial autoregressive model with GEV innovations, fitted by a CNN, estimates spatial extreme parameters quickly and reproduces observed precipitation extremes in NA-CORDEX data.
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Modeling Spatial Extremes using Non-Gaussian Spatial Autoregressive Models via Convolutional Neural Networks
A new non-Gaussian spatial autoregressive model with GEV innovations, fitted by a CNN, estimates spatial extreme parameters quickly and reproduces observed precipitation extremes in NA-CORDEX data.