Construct · 1 fields · 1 citations

Akaike information criterion: a standalone construct

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Statistics

a model selection score that balances fit against the number of parameters by estimating expected predictive information loss.

In statistics, Akaike information criterion refers to a model selection score that balances fit against the number of parameters by estimating expected predictive information loss. This meaning comes from Akaike (1974) in IEEE Transactions on Automatic Control.[1]

Unit
Recovery means
Measured by

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Nearby constructs

control4 fields · 5 citationsjingle · one word, four constructs information4 fields · 5 citationsjingle · one word, four constructs loss2 fields · 3 citationsjingle · one word, two constructs

References

Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716-723. https://doi.org/10.1109/tac.1974.1100705

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