The Partial Linear Model in High Dimensions

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Abstract

Partial linear models have been widely used as flexible method for modelling linear components in conjunction with non-parametric ones. Despite the presence of the non-parametric part, the linear, parametric part can under certain conditions be estimated with parametric rate. In this paper, we consider a high-dimensional linear part. We show that it can be estimated with oracle rates, using the least absolute shrinkage and selection operator penalty for the linear part and a smoothness penalty for the nonparametric part.

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Müller, P., & van de Geer, S. (2015). The Partial Linear Model in High Dimensions. Scandinavian Journal of Statistics, 42(2), 580–608. https://doi.org/10.1111/sjos.12124

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