Marginal Likelihood
The probability of the data averaged over the prior — the integral of likelihood times prior over the whole parameter space. It normalizes the posterior and is the quantity compared between models in a Bayes factor.
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The probability of the data averaged over the prior — the integral of likelihood times prior over the whole parameter space. It normalizes the posterior and is the quantity compared between models in a Bayes factor.
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