title: Consistent inference of a general model using the pseudolikelihood method.
abstract: Recently, a maximum pseudolikelihood (MPL) inference method has been successfully applied to statistical physics models with intractable likelihoods. We use information theory to derive a relation between the pseudolikelihood and likelihood functions. Furthermore, we show the consistency of the pseudolikelihood method for a general model.
authors.affiliation: Department of Information and Computer Science, Aalto University, P.O. Box 15400, FI-00076, Finland.
authors.forename: Alexander
authors.initials: A
authors.lastname: Mozeika
authors.affiliation: Department of Information and Computer Science, Aalto University, P.O. Box 15400, FI-00076, Finland.
authors.forename: Onur
authors.initials: O
authors.lastname: Dikmen
authors.affiliation: Department of Biomedical Engineering and Computational Science, Aalto University, P.O. Box 12200, FI-00076, Finland.
authors.forename: Joonas
authors.initials: J
authors.lastname: Piili
mesh_terms: D016013:Likelihood Functions; D008962:Models, Theoretical; D055585:Physical Phenomena; D013223:Statistics as Topic