"How is the Group Theory method different in terms of efficiency, accuracy, and application scope compared to other causal decoupling techniques, um, such as those based on statistical methods?"
"Ladies and gentlemen, allow me to answer this question."
Chen Yiwen stood up and began eloquently, "Our technology identifies and decouples causal relationships by utilizing symmetries and properties of groups. This method is more effective at revealing the structure and dynamic relationships between variables when inferring causality in complex systems...
Statistical methods, such as regression analysis, Bayesian networks, or machine learning models, focus on inferring causal effects through data distribution and statistical relationships. These methods usually rely on a large amount of data and may require additional assumptions when faced with confounding or hidden variables.
