This is the fully Bayesian version of . Like with , the widely applicable information criterion (WAIC) has two terms: one that measures how well the data fits the model and one penalizing complex models:

If you want to better understand what these two terms are please read the  in depth section. From a practical point of view, you just need to know that we prefer lower values of .