3 papers
math.ST2018
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…
math.ST2017
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…
stat.ME2016
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…