关于
The PyMC Bayesian Modeling skill equips Claude with specialized expertise in probabilistic programming and statistical inference. It facilitates a robust, end-to-end Bayesian workflow, encompassing data standardization, weakly informative prior selection, MCMC sampling via the NUTS algorithm, and rigorous model diagnostics. This skill is particularly valuable for data scientists and researchers needing to implement hierarchical models, quantify uncertainty in predictions, or handle missing data through principled probabilistic methods, ensuring all models adhere to modern PyMC 5.x+ best practices.
