Likelihood
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The probability of the observed data given a particular parameter value: L(theta) = P(data | theta). Not a probability distribution over theta. Maximum likelihood estimation (MLE) finds the parameter that maximizes the likelihood. In Bayesian statistics, likelihood connects prior to posterior via Bayes’ theorem.