Bayesian Statistics, Model Comparison, Model Selection, Machine Learning, Thoughts And Theory.
role. For model selection we are interested in the model posterior probability, which, by another application of Bayes’s theorem, can be written as To compare models we therefore need to compute Bayes factors, which require computation of the model evidence of the models under consideration. This