On Profile Likelihood

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 Cram'er conditions on the low dimensional model can be used