Semiparametric statistics studies models with a finite-dimensional target parameter and an infinite-dimensional nuisance component.
A semiparametric estimator targets a finite-dimensional parameter while estimating or otherwise accommodating an infinite-dimensional nuisance component.
A partially linear model combines a linear coefficient with an unrestricted nuisance function, for example .

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