Insurance, Risk Management, Data Science, Insurtech, Machine Learning.
bivariate case, given two continuous random variables “x” and “y”, with marginal distributions “F” and “G”, and a joint distribution “Q”, there exists a copula “C” such that Q(x,y) = C[F(x),G(y)] GANs offer a completely different framework to model multivariate distributions. Using a combination of