Model Selection Criteria Using Likelihood Functions and Out-of-Sample Performance

Model selection is often conducted by ranking models by their out-of-sample forecast error. Such criteria only incorporate information about the expected value, whereas models usually describe the entire probability distribution.
Hence, researchers may