Gao, X. and Song, P.X. (2010) Composite Likelihood Bayesian Information Criteria for Model Selection in High-Dimensional Data. Journal of the American Statistical Association, 105, 1531-1540.
http://dx.doi.org/10.1198/jasa.2010.tm09414

has been cited by the following article:

• TITLE: Theoretical Properties of Composite Likelihoods

  AUTHORS: Xiaogang Wang, Yuehua Wu

  KEYWORDS: Composite Likelihood; I-Divergence; Information Theory; Likelihood Weights; Maximum Entropy Distribution

  JOURNAL NAME: Open Journal of Statistics, Vol.4 No.3, March 28, 2014

  ABSTRACT: The general functional form of composite likelihoods is derived by minimizing the Kullback-Leibler distance under structural constraints associated with low dimensional densities. Connections with the I-projection and the maximum entropy distributions are shown. Asymptotic properties of composite likelihood inference under the proposed information-theoretical framework are established.