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Bayesian model selection is premised on the assumption that the data are generated from one of the postulated models.
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[author] Buja, AndreasA., Brown, LawrenceL., Kuchibhotla, Arun KumarA. K., Berk, RichardR., George, EdwardE. and Zhao, Linda HL. H. (2019b). Models as Approximations II: A Model-Free Theory of Parametric Regression. Statistical Science 34 545–565
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