SpaceTime: Causal Discovery from Non-Stationary Time Series
SpaceTime: Causal Discovery from Non-Stationary Time Series
Understanding causality is challenging and often complicated by changing causal relationships over time and across environments. Climate patterns, for example, shift over time with recurring seasonal trends, while also depending on geographical characteristics such as ecosystem variability. Existing methods for discovering causal graphs from time series either assume stationarity, do …