AI4BayesCode: From Natural Language Descriptions to Validated Modular Stateful Bayesian Samplers

In three linesAI4BayesCode translates natural-language Bayesian model descriptions into validated, modular MCMC samplers. The system decomposes models into sampling blocks mapped to built-in components, with pre- and post-generation validation. A novel recursively stateful architecture enables coherent composition of independently developed sampling components.

Summary generated by Claude — human-verified