probabilistic programming

Probabilistic programming is a method that allows computers to model and reason about uncertainty and complex systems by combining programming with probability theory. It enables the creation of models that can handle incomplete or noisy data, making predictions or inferences about real-world situations. Essentially, it automates the process of building statistical models, allowing users to specify complex problems in code, which the computer then uses to understand likely outcomes and relationships, even when some information is uncertain or unavailable.