All we need is just
PyStan examples includes these methods:
- Linear Regression
- Multiple Linear Regression
- Robust Regression
- Logistic Regression
- Multinomial Logistic Regression
- Ordered Logistic Regression
- One-way ANOVA
- Two-way ANOVA
StatsModels examples includes these methods:
- Multiple linear regression with interaction terms
- Poisson regression
R examples includes these methods:
- Factor analysis
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation reference code, Link.
- stan_utility.py (Inference case studies in jupyter), Link.
- Stan Reference Manual Link
- PyStan Getting Started Link
- Stan example models Link
- Prior choices Link
- Glossary of statistical terms Link
- Salvatier J, Wiecki TV, Fonnesbeck C. (2016) Probabilistic programming in Python using PyMC3. PeerJ Computer Science 2:e55 https://doi.org/10.7717/peerj-cs.55 Link
- Korner-Nievergelt, F., Korner-Nievergelt, P., Roth, T., Almasi, B., Felten, S. V., & Guélat, J. (2016). Bayesian data analysis in ecology using linear models with R, BUGS and Stan. Amsterdam: Elsevier/Academic Press.