bayesian-inference-engine

# Bayesian Inference Engine ## Purpose Provides Bayesian probabilistic reasoning capabilities for prior specification, posterior computation, and sequential belief updating. ## Capabilities - Prior elicitation support - MCMC sampling (NUTS, HMC) - Variational inference - Model comparison (Bayes factors, LOO-CV) - Posterior predictive checking - Sequential belief updating ## Usage Guidelines 1. **Prior Selection**: Choose appropriate, defensible priors 2. **Sampling**: Use efficient MCMC algorithms 3. **Diagnostics**: Check convergence and mixing 4. **Model Comparison**: Use appropriate comparison criteria ## Tools/Libraries - PyMC - Stan (PyStan) - ArviZ - NumPyro