activity
20162021
most citedOptimal designs for enzyme inhibition kinetic models

1 citations · 1 across the 4 of their papers we have counts for

collaborators

8 papers

math.ST2021

Optimal designs for comparing regression curves -- dependence within and between groups

Kirsten Schorning, Holger Dette

We consider the problem of designing experiments for the comparison of two regression curves describing the relation between a predictor and a response in two groups, where the dat…

stat.ME2019

Optimal designs for model averaging in non-nested models

Kira Alhorn, Holger Dette, Kirsten Schorning

In this paper we construct optimal designs for frequentist model averaging estimation. We derive the asymptotic distribution of the model averaging estimate with fixed weights in t…

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…

stat.ME2018

Optimal designs for frequentist model averaging

Kira Alhorn, Kirsten Schorning, Holger Dette

We consider the problem of designing experiments for the estimation of a target in regression analysis if there is uncertainty about the parametric form of the regression function.…

stat.ME2017

Bayesian optimal designs for dose-response curves with common parameters

Kirsten Schorning, Maria Konstantinou

The issue of determining not only an adequate dose but also a dosing frequency of a drug arises frequently in Phase II clinical trials. This results in the comparison of models whi…

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…