Welcome – it’s great to see you here! This course has 9 components:
- Preliminaries – the benefits of averaging and using weighted averages
- Model evaluation and parsimony – what constitutes a ‘good’ model? Exploring the trade-off between model complexity and model utility
- An introduction to Information Theory – the concept of entropy
- Kullback-Leibler Information
- Akaike Information Criterion (AIC)
- Interpretation and use of the AIC
- Corrected
- Akaike Information Criterion (AICc)
- (Frequentist) Model averaging
- Quiz
At the end of the course there is a short quiz.
Click here to start your lesson.
