Modeling Spatial Extremes Using Non‐Gaussian Spatial Autoregressive Models via Convolutional Neural Networks
A spatial autoregressive modeling framework, which maps observations at a location and its neighbors to independent random variables, and applies this model to analyze annual maximum precipitation data from ERA‐Interim‐driven Weather Research and Forecasting simulations, allowing it to explore its spatial extreme behav...