Convergent cross mapping

Convergent Cross Mapping (CCM) is a statistical technique used to infer causal relationships between time-series data based on observations of their interactions. It was introduced in the context of ecological and environmental sciences to determine whether one time series can effectively predict the behavior of another, which can provide insight into underlying causal structures. ### Key Concepts of Convergent Cross Mapping: 1. **Causal Inference**: CCM is particularly useful for distinguishing between correlation and direct causal effects.