jj’s Reviews > Statistical Rethinking: A Bayesian Course with Examples in R and Stan > Status Update

"Remember: Bayesian inference is distinguished by a broad view of probability, not by the use of Bayes' theorem. Since all of the probabilities I provided reference frequencies of events, rather than theoretical parameters, all major statistical philosophies would agree to use Bayes' theorem in this case."

1.5h for 12pgs

“Inference under any probability concept will eventually make use of Bayes’ theorem.”

“…Bayesian approaches get to use Bayes’ theorem more generally, to quantify uncertainty about theoretical entities that cannot be observed, like parameters and models.”

“Powerful inferences can be produced under Bayes and non-Bayesian… but different justifications and sacrifices are necessary.”

Ok 2h for 16pages. That’s… well that’s just what this’ll take. *sighs heavily and tries to very much avoid thinking about the difference between “pages read” and “concept understood/learning ‘acquired’”*