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Nonparametric and Semiparametric Estimation of Additive Models with Both Discrete and Continuous Variables under Dependence
Contributions to Statistics
This paper is concerned with the estimation and inference of nonparametric and semiparametric additive models in the presence of discrete variables and dependent observations. Among the different estimation procedures, the method introduced by Linton and Nielsen, based in marginal integration, has became quite popular because both its computational simplicity and the fact that it allows an asymptotic distribution theory. Here, an asymptotic treatment of the marginal integration estimator underdoi:10.1007/3-7908-1701-5_10 fatcat:rproamvfczdgdmvrnc3rplgo3i