Modeling the central tendency within one sample without the normality assumption
Markov Chain Monte Carlo algorithms
Modeling the central tendency within one sample
Interaction terms as a modest introduction to mixed effect models
Model comparison by means of information criterion and maximum entropy
Backdoor criterions, conditional independencies, and more causal inference
Directed acyclic graphs and causal inferences from regression models
First linear regression models using quadratic approximation
Introducing the concept of posteriors and grid approximation
This is the first part of a series where I work through the practice questions of the second edition of Richard McElreaths Statistical Rethinking