72 citations · 338 across the 55 of their papers we have counts for
6 papers · 2 filters
Optimal discrimination designs for semi-parametric models
Holger Dette, Roman Guchenko, Viatcheslav Melas +1
Much of the work in the literature on optimal discrimination designs assumes that the models of interest are fully specified, apart from unknown parameters in some models. Recent w…
Best linear unbiased estimators in continuous time regression models
Holger Dette, Andrey Pepelyshev, Anatoly Zhigljavsky
In this paper the problem of best linear unbiased estimation is investigated for continuous-time regression models. We prove several general statements concerning the explicit form…
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…
Assessing the similarity of dose response and target doses in two non-overlapping subgroups
Frank Bretz, Kathrin Möllenhoff, Holger Dette +2
We consider two problems that are attracting increasing attention in clinical dose finding studies. First, we assess the similarity of two non-linear regression models for two non-…
Bayesian -optimal designs for error-in-variables models
Maria Konstantinou, Holger Dette
Bayesian optimality criteria provide a robust design strategy to parameter misspecification. We develop an approximate design theory for Bayesian -optimality for non-linear regr…