High Quality Content by WIKIPEDIA articles! High Quality Content by WIKIPEDIA articles! In statistics a semiparametric model is a model that has parametric and nonparametric components. It may appear at first that semiparametric models include nonparametric models, since they have an infinite dimensional as well as a finite dimensional component. However, a semiparametric model is considered to be "smaller" than a completely nonparametric model because we are often interested only in the finite-dimensional component of ?. That is, we are not interested in estimating the infinite-dimensional component. In nonparametric models, by contrast, the primary interest is in estimating the infinite dimensional parameter. Thus the estimation task is statistically harder in nonparametric models. These models often use smoothing or kernels.

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