Bayesian Data Analysis course material

This repository has course material for Bayesian Data Analysis course at Aalto (CS-E5710). See the course web pages for more information.

The course material in the repo can be used in other courses. Text and videos licensed under CC-BY-NC 4.0. Code licensed under BSD-3.

The electronic version of the course book Bayesian Data Analysis, 3rd ed, by Andrew Gelman, John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Donald Rubin is available for non-commercial purposes. Hard copies are available from the publisher and many book stores. See also home page for the book, errata for the book, and chapter_notes.

The material will be updated during the course. Exercise instructions and slides will be updated at latest on Monday of the corresponding week. The best way to stay updated is to clone the repo and pull before checking new material. If you don't want to learn git and can't find the Download ZIP link, click here.

Acknowledgements

The course material has been greatly improved by the previous and current course assistants (in alphabetical order): Michael Riis Andersen, Paul Bürkner, Akash Daka, Alejandro Catalina, Kunal Ghosh, Meenal Jhajharia, Andrew Johnson, Noa Kallioinen, Joona Karjalainen, David Kohns, Juho Kokkala, Leevi Lindgren, Yann McLatchie, Måns Magnusson, Anton Mallasto, Janne Ojanen, Topi Paananen, Markus Paasiniemi, Juho Piironen, Anna Riha, Jaakko Riihimäki, Niko Siccha, Eero Siivola, Tuomas Sivula, Teemu Säilynoja, Jarno Vanhatalo.