/bayesian-intro

Introduction to Bayesian statistics

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Introduction to Bayesian statistics

3 day course: October 19 - October 21 2020
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig
benjamin.rosenbaum@idiv.de

Day 1

1 - Lecture: Introduction

2 - Practical: Maximum likelihood

3 - Lecture: Bayesian principles

4 - Lecture: Stan - a probabilistic programming language

5 - Practical: my first Stan model

6 - Exercise: my first Stan model

Day 2

1 - Lecture: Priors

2 - Exercise: Priors

3 - Practical: Posterior distribution

4 - Exercise: Posterior

5 - Practical: t-test

6 - Practical: Logistic regression

7 - Practical: Binomial regression

8 - Practical: Nonlinear response

9 - Practical: Logistic growth

Day 3

1 - Practical: Fixed and random effects

2 - Practical: Random intercepts regression

3 - Exercise: Random intercepts and slopes

4 - Lecture: Conclusions