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20002024
most citedSpiral arms, bar shape and bulge microlensing in the Milky Way

267 citations · 996 across the 18 of their papers we have counts for

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6 papers · 1 filter

math.ST2020

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…

math.ST2019

The empirical process of residuals from an inverse regression

Tim Kutta, Nicolai Bissantz, Justin Chown +1

In this paper we investigate an indirect regression model characterized by the Radon transformation. This model is useful for recovery of medical images obtained by computed tomogr…

math.ST2017

Risk Estimators for Choosing Regularization Parameters in Ill-Posed Problems - Properties and Limitations

Felix Lucka, Katharina Proksch, Christoph Brune +4

This paper discusses the properties of certain risk estimators recently proposed to choose regularization parameters in ill-posed problems. A simple approach is Stein's unbiased ri…

math.ST2016

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…

math.ST2013

Additive inverse regression models with convolution-type operators

T. Hildebrandt, N. Bissantz, H. Dette

In a recent paper Birke and Bissantz (2008) considered the problem of nonparametric estimation in inverse regression models with convolution-type operators. For multivariate predic…

math.ST2012★ 15 cited

Confidence bands for multivariate and time dependent inverse regression models

Katharina Proksch, Nicolai Bissantz, Holger Dette

Uniform asymptotic confidence bands for a multivariate regression function in an inverse regression model with a convolution-type operator are constructed. The results are derived…