I plan for this page to provide a home to posts that require further context (as opposed to blog posts that should be able to stand alone), especially if this context is in the form of a book that one needs to get hold of or a course that one needs to sign up for.
‘Statistical Rethinking: A Bayesian course with examples in R and Stan’
by Richard McElreath
Chapter 1: The golem of Prague (contains no exercises)
Chapter 2: Small worlds and large worlds (only the “hard” problems)
Chapter 3: Sampling the imaginary (all problems)
“Improving your statistical inferences”
by Daniël Lakens
I can also recommend:
Konrad Senf 