Construct · 1 fields · 1 citations

WAIC: a standalone construct

One name. One construct. A landmark on the map.

● anchor · a standalone construct Nearest construct by meaning·not indexed

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Bayesian statistics

estimates of out-of-sample predictive accuracy for Bayesian models computed from posterior draws.

In Bayesian statistics, WAIC refers to estimates of out-of-sample predictive accuracy for Bayesian models computed from posterior draws. This meaning comes from Vehtari (2016) in Statistics and Computing.[1]

Unit
Recovery means
Measured by

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Nearby constructs

Pareto smoothed importance sampling1 fields · 1 citationsanchor · a standalone construct accuracy3 fields · 6 citationsjingle · one word, three constructs posterior2 fields · 2 citationsjingle · one word, two constructs

References

Vehtari, A., Gelman, A., & Gabry, J. (2016). Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC. Statistics and Computing, 27(5), 1413-1432. https://doi.org/10.1007/s11222-016-9696-4

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