Construct · 1 fields · 1 citations

Bayesian information criterion: a standalone construct

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Statistics

a model selection score that penalizes extra parameters more heavily than AIC and approximates Bayesian model evidence.

In statistics, Bayesian information criterion refers to a model selection score that penalizes extra parameters more heavily than AIC and approximates Bayesian model evidence. This meaning comes from Schwarz (1978) in The Annals of Statistics.[1]

Unit
Recovery means
Measured by

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Nearby constructs

evidence2 fields · 4 citationsjingle · one word, two constructs information4 fields · 5 citationsjingle · one word, four constructs model3 fields · 3 citationsjingle · one word, three constructs

References

Schwarz, G. (1978). Estimating the Dimension of a Model. The Annals of Statistics, 6(2). https://doi.org/10.1214/aos/1176344136

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