Marginal likelihood, also known as the model evidence, is a key concept in Bayesian statistics and probabilistic modeling. It refers to the probability of observing the data given a particular statistical model, integrated over all possible values of the model parameters. This concept plays a significant role in model selection and comparison within the Bayesian framework.
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