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

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Summary

An efficient computation of LOO is introduced using Pareto-smoothed importance sampling (PSIS), a new procedure for regularizing importance weights, and it is demonstrated that PSIS-LOO is more robust in the finite case with weak priors or influential observations.

Type
article
Published
2015-07-16
Cited by
5,199
References
47
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Open access

Keywords

Cross-validation, Bayesian probability, Computer science, Model validation, Variable-order Bayesian network

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