%0 Journal Article
%A Castilla González, Elena María
%A Martín Apaolaza, Nirian
%A Pardo Llorente, Leandro
%A Zografos, Konstantinos
%T Model Selection in a Composite Likelihood Framework Based on Density Power Divergence
%D 2020
%@ 1099-4300
%U https://hdl.handle.net/20.500.14352/7545
%X This paper presents a model selection criterion in a composite likelihood framework based on density power divergence measures and in the composite minimum density power divergence estimators, which depends on an tuning parameter α. After introducing such a criterion, some asymptotic properties are established. We present a simulation study and two numerical examples in order to point out the robustness properties of the introduced model selection criterion.
%~