The Semiparametric Normal Variance-Mean Mixture Model.
We discuss the normal vairance-mean mixture model from a semi-parametric point of view, i.e. we let the mixing distribution belong to a non parametric family. The main results are consistency of the non parametric maximum likelihood estimator in this case, and construction of an asymptotically normal and efficient estimator.