Probabilistic Programming

Probabilistic programming languages (PPLs) are high-level programming tools used to describe probabilistic models and perform inference within such models. They are closely related to graphical models and Bayesian networks, but offer greater expressive power and flexibility, allowing for a more accurate representation of complex uncertainty relationships. PPLs are widely applied in statistical analysis, machine learning, and artificial intelligence.