Marginal likelihood

In Bayesian statistics, the integral of the likelihood weighted by the prior over all parameter values: p(x) = ∫ p(x|θ)p(θ)dθ, also called the model evidence. It serves as the normalizing constant of the posterior and is used in model comparison via Bayes factors.