3 citations · 3 across the 3 of their papers we have counts for
4 papers · 1 filter
Robust-to-outliers square-root LASSO, simultaneous inference with a MOM approach
G. Finocchio, A. Derumigny, K. Proksch
We consider the least-squares regression problem with unknown noise variance, where the observed data points are allowed to be corrupted by outliers. Building on the median-of-mean…
Simultaneous inference for Berkson errors-in-variables regression under fixed design
Katharina Proksch, Nicolai Bissantz, Hajo Holzmann
In various applications of regression analysis, in addition to errors in the dependent observations also errors in the predictor variables play a substantial role and need to be in…
Gromov-Wasserstein Distance based Object Matching: Asymptotic Inference
Christoph Alexander Weitkamp, Katharina Proksch, Carla Tameling +1
In this paper, we aim to provide a statistical theory for object matching based on the Gromov-Wasserstein distance. To this end, we model general objects as metric measure spaces.…
Multiscale inference for a multivariate density with applications to X-ray astronomy
Konstantin Eckle, Nicolai Bissantz, Holger Dette +2
In this paper we propose methods for inference of the geometric features of a multivariate density. Our approach uses multiscale tests for the monotonicity of the density at arbitr…