An attentive Copula-based spatio-temporal graph model for multivariate time-series forecasting
An attentive Copula-based spatio-temporal graph model for multivariate time-series forecasting is a scholarly work, published in 2024 in ''Applied Soft Computing''. The main subjects of the publication include Probabilistic forecasting, multivariate statistics, probabilistic logic, data mining, graph, artificial intelligence, electricity market, machine learning, time series, computer science, and copula. The authors create a geometrical graph using node locations and a probabilistic graph structure learned from node embedding to capture non-linear temporal dynamics.