"Introduction to data analysis by Bayesian statistical modeling starting with R and Stan" implemented in Python
Bayesian statistical modeling implemented in Python
"Introduction to Data Analysis by Bayesian Statistical Modeling Beginning with R and Stan" is a book that is easier to get started with implementing Bayesian inference than a duck book.
The duck book has a lecture chapter on statistical models, but there are few. It is a book that starts from the point of trying it first. Also, the idea of Hierarchical Bayes may be better understood by reading it together with a duck book.
Why implement in Python
Officially, this is also implemented in R. Recently, many people use Python, so I implemented it not only in the duck book but also in Python.
code
Implemented in Python and PyThon.
Github https://github.com/MasazI/python-r-stan-bayesian-model
If you have any questions, please give me a pull request. I personally think that not only point estimation but also Bayesian estimation should spread in general.