Mixed-frequency time-frequency canonical correlation analysis (MF-TFCCA) is a method for identifying causal relationships between time series of different temporal resolutions.

TEACHING sustainability management this term led to an unexpected opportunity to examine the national budget crisis through fresh eyes. As my students and I tried to apply systems thinking in ...

One of the primary challenges with causalAI lies in its complexity. CausalAI requires a deep understanding of causal inference and advanced statistical techniques, making it less accessible to most AI ...

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...