Salimur Choudhury

Regime-aware causal Bayesian forecasting for non-stationary time series

The Causal Regime Bayesian (CaReBayes) forecasting framework is proposed, which integrates regime detection, causal discovery, and Bayesian forecasting within a unified approach and produces regime-dependent causal graphs that summarize candidate structural relationships in the system, enhancing interpretability.