The likelihood of any proposition or random variable can be analyzed given another random variable .
In Bayesian inference , one can speak about the likelihood of any proposition or random variable : for example the likelihood of a parameter value or of a statistical model ( see marginal likelihood ) , given specified data or other evidenceI . J . Good : Probability and the Weighing of Evidence ( Griffin 1950 ) , §6.1H . Jeffreys : Theory of Probability ( 3rd ed. ,
Likelihood function