A further set of responses to the subjectivity of Bayesian statistical inference targets the prior distribution directly: we might provide further rationality principles, with which the choice of priors can be chosen objectively. The literature proposes several objective criteria for filling in the prior over the model. Each of these lays claim to being the correct expression of complete ignorance concerning the value of the model parameters, or of minimal information regarding the parameters. Three such criteria are discussed here.