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math.ST2014★ 1 cited
Censored linear model in high dimensions
Patric Müller, Sara van de Geer
Censored data are quite common in statistics and have been studied in depth in the last years. In this paper we consider censored high-dimensional data. High-dimensional models are…
math.ST2013
The partial linear model in high dimensions
Patric Müller, Sara van de Geer
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 p…
math.ST2012★ 19 cited
Quasi-Likelihood and/or Robust Estimation in High Dimensions
Sara van de Geer, Patric Müller
We consider the theory for the high-dimensional generalized linear model with the Lasso. After a short review on theoretical results in literature, we present an extension of the o…