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00925njm 22002777a 4500 dc Castilla González, Elena María author Martín Apaolaza, Nirian author Pardo Llorente, Leandro author Zografos, Konstantinos author 2020 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. 1099-4300 10.3390/e22030270 https://hdl.handle.net/20.500.14352/7545 https://doi.org/10.3390/e22030270 https://www.mdpi.com/1099-4300/22/3/270 Model Selection in a Composite Likelihood Framework Based on Density Power Divergence