Parsimonious model selection using information theory: a modified selection rule

Information-theoretic approaches to model selection, such as Akaike’s information criterion (AIC) and cross validation, provide a rigorous framework to select among candidate hypotheses in ecology, yet the persistent concern of overfitting undermines the interpretation of inferred processes. A commo...

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Bibliographic Details
Published in:Ecology (Durham) 2021-10, Vol.102 (10), p.1-9
Main Authors: Yates, Luke A., Richards, Shane A., Brook, Barry W.
Format: Article
Language:English
Subjects:
Bayesian analysis
Bayesian theory
Criteria
cross validation
ecology
Information theory
mathematical theory
model selection
overfitting
parsimony
post‐selection inference
statistical analysis
Uncertainty
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