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Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC

Aki Vehtari, Andrew Gelman, Jonah GabryPublished Aug 30, 2016
DOI Publisher
Researcher verdict
Context only
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Benchmark evidence
Missing
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Time to first repro
A few days
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Risk flags
2
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Results and benchmarks

Freshness tier: cold
Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC presents a bayesian probability approach for cross-validation.

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Last checked: Aug 21, 2026

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Research context

5,563

Citations

49

References

Tasks

Cross-validation, Computer science, Data mining, Econometrics, Statistics and Probability, Physical Sciences

Methods

Bayesian probability, Model validation, Variable-order Bayesian network, Bayesian inference

Domains

Artificial intelligence, Machine learning, Mathematics

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