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Regular version of the site

Book chapter

Adaptive Design of Experiments Based on Gaussian Processes

P. 116-125.
Burnaev E. V., Panov M.

We consider a problem of adaptive design of experiments for Gaussian process regression. We introduce a Bayesian framework, which provides theoretical justification for some well-know heuristic criteria from the literature and also gives an opportunity to derive some new criteria. We also perform testing of methods in question on a big set of multidimensional functions.

In book

Edited by: A. Gammerman, V. Vovk, H. Papadopoulos. Vol. 9047: Statistical Learning and Data Sciences: Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings. Switzerland: Springer, 2015.