An Asymptotic Behaviour of the Marginal Likelihood for General Markov Models

Abstract

The standard Bayesian Information Criterion (BIC) is derived under regularity conditions which are not always satisfied in the case of graphical models with hidden variables. In this paper we derive the BIC for the binary graphical tree models where all the inner nodes of a tree represent binary hidden variables. This provides an extension of a similar… (More)

Topics

4 Figures and Tables

Slides referencing similar topics