Holdout validation and K-fold cross-validation of Stan programs with the loo package
Using the loo package
Using Leave-one-out cross-validation for large data
Approximate leave-future-out cross-validation for Bayesian time series models
Mixture IS leave-one-out cross-validation for high-dimensional Bayesian models
Avoiding model refits in leave-one-out cross-validation with moment matching
Leave-one-out cross-validation for non-factorized models
Bayesian Stacking and Pseudo-BMA weights
Writing Stan programs for use with the loo package