Causal Discovery from Conditionally Stationary Time Series

Carles Balsells-Rodas, Xavier Sumba, Tanmayee Narendra +4

Causal discovery, i.e., inferring underlying causal relationships from observational data, is highly challenging for AI systems. In a time series modeling context, traditional caus…