Model evidence refers to the probability of observing the given data under a specific statistical model, integrating over all possible parameter values. This concept plays a crucial role in determining how well a model explains the observed data, influencing decisions in hypothesis testing and Bayesian inference. Model evidence helps compare different models and provides a basis for selecting the most appropriate one based on the available information.
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