While we have questions about Bayesian textbooks (1 and several other) and the philosophy behind the Bayesian thinking (2), I am interested papers (or sources of similar length, e.g. blog posts or book chapters) that overview the Bayesian approach (philosophy, methodology) and its different branches.
- They would highlight the fundamental idea(s) and intuition behind the Bayesian approach.
- They would cover the interpretations of probability, uncertainty and model parameters as random variables.
- They would perferably be on a somewhat advanced level.
This is quite similar to question 2 but focuses on papers rather than books.
I suggest one paper (blog post, book chapter, ...) per answer.