Rethinking

Rethinking Chapter 9

Markov Chain Monte Carlo algorithms

Rethinking Chapter 8

Interaction terms as a modest introduction to mixed effect models

Rethinking Chapter 7

Model comparison by means of information criterion and maximum entropy

Rethinking Chapter 6

Backdoor criterions, conditional independencies, and more causal inference

Rethinking Chapter 5

Directed acyclic graphs and causal inferences from regression models

Rethinking Chapter 4

First linear regression models using quadratic approximation

Rethinking Chapter 3

Introducing the concept of posteriors and grid approximation

Rethinking Chapter 2

This is the first part of a series where I work through the practice questions of the second edition of Richard McElreaths Statistical Rethinking