Model selection and model averaging

Model selection: data examples and introduction. Akaike's information criterion. The Bayesian information criterion. A comparison of some selection methods. Bigger is not always better. The focussed information criterion. Frequentist and Bayesian model averaging. Lack-of-fit and goodness-of-fit...

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Détails bibliographiques
Auteurs principaux : Claeskens Gerda (Auteur), Hjort Nils Lid (Auteur)
Format : Livre
Langue : anglais
Titre complet : Model selection and model averaging / Gerda Claeskens, Nils Lid Hjort
Publié : Cambridge, New York : Cambridge University Press , copyright 2008
Description matérielle : 1 vol. (XVII-312 p.)
Collection : Cambridge series in statistical and probabilistic mathematics (Print)
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Résumé : Model selection: data examples and introduction. Akaike's information criterion. The Bayesian information criterion. A comparison of some selection methods. Bigger is not always better. The focussed information criterion. Frequentist and Bayesian model averaging. Lack-of-fit and goodness-of-fit tests. Model selection and averaging schemes in action. Further topics, Overview of data examples, Bibliography, Author index, Subject index
Bibliographie : Bibliographie p. 293-305. Index
ISBN : 978-0-521-85225-8
0-521-85225-0