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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.