On the equivalence between conditional and random-effects likelihoods in exponential families

In the exponential families framework, we provide a mixing distribution which assures the equivalence between the conditional and the random-effects likelihoods, two widely used tools to make inference on a parameter of interest in the case of many nuisance parameters.