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March 1978
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1,266 Reads
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35,087 Citations
The Annals of Statistics
The problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion. These terms are a valid large-sample criterion beyond the Bayesian context, since they do not depend on the a priori distribution.
... Year was included as a fixed effect since it only had two levels and could not be included as a random effect since the models did not properly converge. We used Bayesian information criterion (BIC; Schwarz, 1978) to determine the best model among candidate models. Using all variable combinations, we compared models using the BICtab function from the bbmle package (Bolker & R Development Core Team, 2022); the model with the lowest BIC was determined to be the best-fit model. ...
March 1978
The Annals of Statistics
