All we need is just
- Diabetes dataset: Dataset info, Markdown.
PyStan examples includes these methods:
- Linear Regression Model, Script.
- Multiple Linear Regression Model, Script.
- Robust Regression Model, Script.
- Logistic Regression Model, Script.
- Multinomial Logistic Regression Model, Script.
- Ordered Logistic Regression Model, Script.
- One-way ANOVA Model, Script.
- Two-way ANOVA Model, Script.
R examples includes these methods:
- Factor analysis Markdown.
- Correlation analysis Markdown.
- Multiple Linear Regression with interaction terms Markdown.
- Poisson Regression Markdown.
- Bayes Factors Markdown.
- Glossary of statistical terms Link.
- Statistical tests with Python Link.
- Michael Betancourt: “A Conceptual Introduction to Hamiltonian Monte Carlo”, 2017; arXiv:1701.02434.
- Hamiltonian Monte Carlo explained, Link.
- Stan Reference Manual Link.
- PyStan Getting Started Link.
- Stan example models Link.
- Prior choices 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.