Dependence model assessment and selection with DecoupleNets

Marius Hofert, Avinash Prasad, Mu Zhu

Neural networks are suggested for learning a map from $d$-dimensional samples with any underlying dependence structure to multivariate uniformity in $d^{\prime }$ dimensions. This map, term…