Statistical Rethinking

Learning Goals

The material presented here is aimed at providing the reader with:

  1. A solid grasp of Bayesian statistics
    • Have an overview of Bayesian principles
    • Be able to formulate Bayesian frameworks
    • Know how to interpret outputs of Bayesian frameworks
  2. Ability to execute Bayesian statistics
    • Know how to apply the rethinking package
    • Have an initial overview of STAN functionality

Contents

  • We follow the material noted further down under Group Material
  • We prepared ourselves by working through the material noted for each session in the Preparation Column in Proposed Timeline
  • At the start of each session, I quickly presented a summary of the preparation material.

Material

  • Lecture Recording “Statistical Rethinking” by Richard McElreath; available here
  • Book “Statistical Rethinking” by Richard McElreath; available here
  • Practical Examples:
    • Course Material Statistical Rethinking
    • Book “Introduction to WinBUGS for Ecologists” by Marc Kéry; available here
    • Book “Bayesian Population Analysis using WinBUGS” by Marc Kéry and Michael Schaub; available here
  • Further Input (all prospective)

Disclaimer

The material, I have prepared here is now being used for an official PhD-level course.

If you find any typos in my material, are unhappy with some of what or how I am presenting or simply unclear about thing, do not hesitate to contact me.

All the best, Erik

Statistics Bayesian Statistics Bayes Rethinking

Last updated on Jan 1, 2021

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