267 citations · 996 across the 18 of their papers we have counts for
4 papers · 1 filter
Goodness-of-fit testing the error distribution in multivariate indirect regression
Justin Chown, Nicolai Bissantz, Holger Dette
We propose a goodness-of-fit test for the distribution of errors from a multivariate indirect regression model. The test statistic is based on the Khmaladze transformation of the e…
Multiscale inference for multivariate deconvolution
Konstantin Eckle, Nicolai Bissantz, Holger Dette
In this paper we provide new methodology for inference of the geometric features of a multivariate density in deconvolution. Our approach is based on multiscale tests to detect sig…
Regularization parameter selection in indirect regression by residual based bootstrap
Nicolai Bissantz, Justin Chown, Holger Dette
Residual-based analysis is generally considered a cornerstone of statistical methodology. For a special case of indirect regression, we investigate the residual-based empirical dis…
Smooth backfitting in additive inverse regression
Nicolai Bissantz, Holger Dette, Thimo Hildebrandt
We consider the problem of estimating an additive regression function in an inverse regres- sion model with a convolution type operator. A smooth backfitting procedure is developed…