A distributional deep regression method that couples a Gaussian copula from a neural network's output layer with a nonparametric marginal, shown to improve uncertainty calibration and likelihood-free inference in ecological time series examples.
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Marginally-calibrated deep distributional regression
A distributional deep regression method that couples a Gaussian copula from a neural network's output layer with a nonparametric marginal, shown to improve uncertainty calibration and likelihood-free inference in ecological time series examples.