Learning non-Gaussian spatial distributions via Bayesian transport maps with parametric shrinkage

Anirban Chakraborty, Matthias Katzfuss

Many applications, including climate-model analysis and stochastic weather generators, require learning or emulating the distribution of a high-dimensional and non-Gaussian spatial…