Construct · 1 fields · 1 citations

Bayesian model averaging: a standalone construct

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Bayesian statistics

combining predictions from several models weighted by their posterior probabilities to account for model uncertainty.

In Bayesian statistics, Bayesian model averaging refers to combining predictions from several models weighted by their posterior probabilities to account for model uncertainty. This meaning comes from Hoeting (1999) in Statistical Science.[1]

Unit
Recovery means
Measured by

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Nearby constructs

model3 fields · 3 citationsjingle · one word, three constructs posterior2 fields · 2 citationsjingle · one word, two constructs stacking of predictive distributions1 fields · 1 citationsanchor · a standalone construct

References

Hoeting, J. A., Madigan, D., Raftery, A. E., & Volinsky, C. T. (1999). Bayesian model averaging: A tutorial. Statistical Science, 14(4). https://doi.org/10.1214/ss/1009212519

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