The likelihood ratio is a statistical measure that compares the probability of observing data under two different hypotheses. It is a key concept in Bayesian statistics, as it helps to quantify how much more likely the data is under one hypothesis compared to another, allowing for the evaluation of evidence in favor of different models. This ratio plays an important role in updating beliefs and can be used to derive Bayes factors, which facilitate model comparison.
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