Ontology highlight
ABSTRACT:
SUBMITTER: Hainy M
PROVIDER: S-EPMC4981187 | biostudies-literature | 2016
REPOSITORIES: biostudies-literature
Hainy Markus M Müller Werner G WG Wagner Helga H
Stochastic environmental research and risk assessment : research journal 20150412
In this paper we employ a novel method to find the optimal design for problems where the likelihood is not available analytically, but simulation from the likelihood is feasible. To approximate the expected utility we make use of approximate Bayesian computation methods. We detail the approach for a model on spatial extremes, where the goal is to find the optimal design for efficiently estimating the parameters determining the dependence structure. The method is applied to determine the optimal ...[more]