In this paper we discuss a class of models of marginal independence for a set of categorical variables called discrete covariance graph models. These models, introduced by Drton & Richardson (2005) in the binary case, are a useful addition to standard graphical log-linear models which are represented by an undirected graph and encode conditional independencies, Lauritzen (1996).

M. Lupparelli, G.M. Marchetti (2006). Parameterization and fitting of discrete covariance graph models. PERUGIA : s.n.

Parameterization and fitting of discrete covariance graph models

LUPPARELLI, MONIA;
2006

Abstract

In this paper we discuss a class of models of marginal independence for a set of categorical variables called discrete covariance graph models. These models, introduced by Drton & Richardson (2005) in the binary case, are a useful addition to standard graphical log-linear models which are represented by an undirected graph and encode conditional independencies, Lauritzen (1996).
2006
Statistical latent variables models in the health science
68
69
M. Lupparelli, G.M. Marchetti (2006). Parameterization and fitting of discrete covariance graph models. PERUGIA : s.n.
M. Lupparelli; G.M. Marchetti
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/68197
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