Course n°01

Introduction to Bayesian inference, Beta-Binomial model

To be done ahead of this course

• Install R packages: see the installation page.
• Verify everything is correctly installed via imsb::check_install().
• (optional) Read chapters 1-3 from Statistical Rethinking.

Slides

Slides for this course are available below. You can navigate these sides using the ← and → keys. Pressing m will display all commands you can use (e.g., f to switch to full screen mode). You can also download a PDF version of these slides or the R code associated with these slides by clicking on the buttons below.

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Tip

See all revealjs commands by pressing m then h.

To go further

• Hájek, A. (2019). Interpretations of probability. In E. N. Zalta (Ed.), The stanford encyclopedia of philosophy (Fall 2019). Metaphysics Research Lab, Stanford University. https://plato.stanford.edu/archives/fall2019/entries/probability-interpret/
• 3Blue1Brown (Director). (2019, December 22). Bayes theorem, the geometry of changing beliefs. https://www.youtube.com/watch?v=HZGCoVF3YvM
• 3Blue1Brown (Director). (2020, March 15). Binomial distributions | Probabilities of probabilities, part 1. https://www.youtube.com/watch?v=8idr1WZ1A7Q
• 3Blue1Brown (Director). (2020, April 12). Why “probability of 0” does not mean “impossible” | Probabilities of probabilities, part 2. https://www.youtube.com/watch?v=ZA4JkHKZM50