Seminar for Statistics

output

20072022

most citedMissForest - nonparametric missing value imputation for mixed-type data

6.4k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

Peter Bühlmann27 · h 61
S. A. van de Geer8 · h 0
M. Maathuis6 · h 33
H. Künsch5 · h 36
J. Peters2 profiles5 · h 35
N. Meinshausen5 · h 46
Johannes Lederer4 · h 18
Corinne Emmenegger3 · h 4
F. Balabdaoui3 · h 17
M. Kalisch3 · h 20
Mohamed Hebiri3 · h 18
A. Hauser2 · h 9

collaborating institutions

ETH ZurichCH70 papers
Centre de Recherche en Économie et StatistiqueFR4 papers
Max Planck Institute for Intelligent SystemsDE4 papers
University of ZurichCH4 papers
Centre National de la Recherche ScientifiqueFR3 papers
University of BernCH3 papers
Carnegie Mellon UniversityUS2 papers
Delft University of TechnologyNL2 papers
Heidelberg UniversityDE2 papers
Institute for Biomedical EngineeringCH2 papers
Laboratoire d’Analyse et de Mathématiques AppliquéesFR2 papers
Ludwig-Maximilians-Universität MünchenDE2 papers

Showing 2020 · math.STShow all

2 papers · 2 filters

math.ST2020

On the robustness of the minimum $ℓ_{2}$ interpolator

Geoffrey Chinot, Matthieu Lerasle

We analyse the interpolator with minimal $ℓ_{2}$ -norm $β^$ in a general high dimensional linear regression framework where $Y = X β^{*} + ξ$ where $X$ is a ran…

math.ST2020★ 6 cited

Profile least squares estimators in the monotone single index model

Fadoua Balabdaoui, Piet Groeneboom

We consider least squares estimators of the finite regression parameter $α$ in the single index regression model $Y = ψ (α^{T} X) + ε$ , where $X$ is a $d$ -dimensional random vector, $\E(Y…

On the robustness of the minimum ℓ2​ interpolator

Profile least squares estimators in the monotone single index model

On the robustness of the minimum $ℓ_{2}$ interpolator