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#53 Bayesian Stats for the Behavioral & Neural Sciences, with Todd Hudson

Learning Bayesian Statistics

CHAPTER

How to Compute a Model Comparison Arithm

Aarithm is very similar, but again, it's for model selection. So it's at least twice as complicated in the sense that you're going to be comparing at least two models. Everything that happened in the measurement arithm basically happens on step one in the model comparison arithm. And then you have to assign priors over the hypotheses after you have already created the two models that you are comparing. And then finally, you make the computation for the desired measurement. That would be the measurement.

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