Bayes factor

A ratio quantifying the relative evidence provided by data for one hypothesis over another: BF₁₀ = P(data|H₁) / P(data|H₀), computed as the ratio of marginal likelihoods. Values greater than one favor H₁; it is used in Bayesian model comparison as an alternative to p-values and automatically penalizes model complexity.