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 originale | Inglese |
---|---|
Pagine | 1-6 |
Numero di pagine | 6 |
Stato di pubblicazione | Pubblicato - 1 gen 2013 |
Pubblicato esternamente | Sì |
Evento | Advances in Latent Variables - Methods, Models and Applications - Brescia Durata: 1 gen 2013 → … |
???event.eventtypes.event.conference???
???event.eventtypes.event.conference??? | Advances in Latent Variables - Methods, Models and Applications |
---|---|
Città | Brescia |
Periodo | 1/01/13 → … |