Zuyev, S. and Molchanov, I.S. (2004) Optimisation in space of measures and optimal design. ESAIM: Probability and Statistics, 8. pp. 12-24. ISSN 1292-8100Full text not available in this repository. (Request a copy from the Strathclyde author)
The paper develops an approach to optimal design problems based on application of abstract optimisation principles in the space of measures. Various design criteria and constraints, such as bounded density, fixed barycentre, fixed variance, etc. are treated in a unified manner providing a universal variant of the Kiefer-Wolfowitz theorem and giving a full spectrum of optimality criteria for particular cases. Incorporating the optimal design problems into conventional optimisation framework makes it possible to use the whole arsenal of descent algorithms from the general optimisation literature for finding optimal designs. The corresponding steepest descent involves adding a signed measure at every step and converges faster than the conventional sequential algorithms used to construct optimal designs. We study a new class of design problems when the observation points are distributed according to a Poisson point process arising in the situation when the total control on the placement of measurements is impossible.
|Keywords:||experimental design, equivalence theorem, poisson design, gradient methods, statistics, Probabilities. Mathematical statistics, Statistics and Probability|
|Subjects:||Science > Mathematics > Probabilities. Mathematical statistics|
|Department:||Faculty of Science > Mathematics and Statistics > Statistics and Modelling Science|
|Depositing user:||Strathprints Administrator|
|Date Deposited:||06 Nov 2007|
|Last modified:||21 Apr 2017 04:24|