72 citations · 304 across the 41 of their papers we have counts for
4 papers · 1 filter
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…
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…
Optimal designs for dose response curves with common parameters
Chrystel Feller, Kirsten Schorning, Holger Dette +2
A common problem in Phase II clinical trials is the comparison of dose response curves corresponding to different treatment groups. If the effect of the dose level is described by…
Optimal designs for regression models with autoregressive errors structure
Holger Dette, Andrey Pepelyshev, Anatoly Zhigljavsky
In the one-parameter regression model with AR(1) and AR(2) errors we find explicit expressions and a continuous approximation of the optimal discrete design for the signed least sq…