Efficient leave-one-out cross-validation for Bayesian non-factorized normal and Student-t models

Paul, Jonah, and Aki write: Cross-validation can be used to measure a model’s predictive accuracy for the purpose of model comparison, averaging, or selection. Standard leave-one-out cross-validation (LOO-CV) requires that the observation model can be factorized into simple terms, but … Continue reading → …