Objective Bayesian Search of Gaussian Directed Acyclic Graphical Models for Ordered Variables with Non‐Local Priors

Author:

Altomare Davide1,Consonni Guido2,La Rocca Luca3

Affiliation:

1. Dipartimento di MatematicaUniversità di Pavia, Via Ferrata 1, 27100 Pavia Italy

2. Dipartimento di Scienze StatisticheUniversità Cattolica del Sacro Cuore Largo Gemelli 1, 20123 Milano Italy

3. Dipartimento di Scienze FisicheInformatiche e Matematiche, Università di Modena e Reggio Emilia, Edificio Matematica, Via Campi 213/b, 41125 Modena Italy

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Reference33 articles.

1. Assessing the accuracy of prediction algorithms for classification: an overview

2. Model selection through sparse maximum likelihood estimation for multivariate Gaussian or binary data;Banerjee O.;Journal of Machine Learning Research,2008

3. Optimal predictive model selection

4. Posterior model probabilities via path-based pairwise priors

5. Objective Bayesian model selection in Gaussian graphical models

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