Bayesian Causal Temporal Modeling (BCTMP) emerges as a powerful framework for analyzing complex systems where temporal dependencies and causal relationships hold a crucial role. At its core, BCTMP utilizes Bayesian inference to develop probabilistic models that capture both the temporal evolution of variables and their underlying causal interconnec… Read More