An introductory Youtube tutorial to Bayesian Data Analysis, by Rasmus Bååth. A must for anyone keen on learning the basics of Bayesian inference. Rasmus offers an intuitive understanding of Bayes' theorem, and the application of the Hamiltonian MC/NUTS algorithm used for posterior sampling. Practical examples are generated using Stan.
- Rasmus' Youtube tutorial:
- Rasmus' DataCamp tutorial: