Preprint
Sep 2026
Approximating Bayesian leave-one-group-out cross-validation
When data are grouped, hierarchical or multilevel models are commonly used to account for group-level variation with group-specific parameters. Leave-one-group-out cross-validation (LOGO-CV) is a suitable tool for evaluating predictive performance for new groups, providing an estimator of the expected log predictive de...
A. Riha, Svenja Jedhoff, Paul-Christian Bürkner et al.
· 0 citations