Mixture versus loglinear models in contingency table analysis

RAPALLO Fabio

Risultato della ricerca: Contributo alla conferenzaContributo in Atti di Convegnopeer review

Abstract

We study here two different approaches to model a cluster structure in contingency tables. From a classical independence model, we consider an additional pattern structure given by a family of subsets of cells where we allow a specific mean parameter. We encode such structure through mixture models and loglinear models, and we compare the algebraic equations defining these classes of models. We discuss some examples, and we characterize the models in some special cases.
Lingua originaleInglese
Pagine1-6
Numero di pagine6
Stato di pubblicazionePubblicato - 1 gen 2013
Pubblicato esternamente
EventoAdvances in Latent Variables - Methods, Models and Applications - Brescia
Durata: 1 gen 2013 → …

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???event.eventtypes.event.conference???Advances in Latent Variables - Methods, Models and Applications
CittàBrescia
Periodo1/01/13 → …

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