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“Instead of “integrating over the posterior,” orthodox methods often use the “plug-in principle.” In this case, the plug-in principle suggests that we predict solely based on , the maximum likelihood estimate. Why is this generally a bad idea? Can you think of a specific situation in which this may not be so much of a problem?”

Michael D. Lee, Bayesian Cognitive Modeling: A Practical Course
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Bayesian Cognitive Modeling: A Practical Course Bayesian Cognitive Modeling: A Practical Course by Michael D. Lee
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