Data Science & Analytics
PyMC Bayesian Modeling
Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.
- Publisher / source
- foryourhealth111-pixel/Vibe-Skills (found on GitHub top repositories)
- Upstream record
- foryourhealth111-pixel/Vibe-Skills
- Version
- Version 1
- Published
- Publication review
- Approved for publication
- Content fingerprint
fdcb16869e695b348018f2681bfa308056c5fdd1f9141a1d2f596481b8675a5d