The understanding of water quality and its underlying processes is important for the protection aquatic environments. With rare opportunity access to a domain expert, an explainable AI (XAI) framework proposed that applicable multivariate time series. XAI provides explanations are interpretable by experts. In three steps, it combines data-driven choice distance measure with supervised decision ...

Generative moment matching networks (GMMNs) are introduced as dependence models for the joint innovation distribution of multivariate time series (MTS). Following popular copula–GARCH approach modeling dependent MTS data, a framework based on GMMN–GARCH is presented. First, ARMA–GARCH utilized to capture serial within each univariate marginal series. Second, if number large, principal component...