5 papers
Optimal designs for series estimation in nonparametric regression with correlated data
Holger Dette, Maria Konstantinou, Kirsten Schorning
In this paper we investigate the problem of designing experiments for series estimators in nonparametric regression models with correlated observations. We use projection based est…
Optimal designs for regression with spherical data
Holger Dette, Maria Konstantinou, Kirsten Schorning +1
In this paper optimal designs for regression problems with spherical predictors of arbitrary dimension are considered. Our work is motivated by applications in material sciences, w…
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…
Optimal designs for comparing regression models with correlated observations
Holger Dette, Kirsten Schorning, Maria Konstantinou
We consider the problem of efficient statistical inference for comparing two regression curves estimated from two samples of dependent measurements. Based on a representation of th…
A new approach to optimal designs for correlated observations
Holger Dette, Maria Konstantinou, Anatoly Zhigljavsky
This paper presents a new and efficient method for the construction of optimal designs for regression models with dependent error processes. In contrast to most of the work in this…