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this paper is to give a general justification for using a semiparametric profile likelihood function as an inferential tool. For this we use empirical processes to reduce the infinite dimensional problem to a problem involving the finite dimensional least favorable submodel. Once this reduction is made, classical Cramer conditions on the low dimensional model can be used
Murphy et al. (Thu,) studied this question.