Prior probability, in Bayesian statistical inference, is the probability of an event based on established knowledge, before empirical data is collected.

Examples are outlined. Some general issues arising in the formulation of such models are discussed. The aim of Statistical Science is to present the full range of contemporary statistical thought at a ...

The measure is in the same spirit as Achen's (1982) "level importance" measure for linear models and thus fills an important gap in logit regression analysis. We show, on the basis of simulations and ...