Bayesian analysis of hierarchical multi-fidelity codes.

This paper deals with the Gaussian process based approximation of a code which can be run at different levels of accuracy. This method, which is a particular case of co-kriging, allows us to improve a surrogate model of a complex computer code using fast approximations of it. In particular, we focus on the case of a large number of code levels on the one hand and on a Bayesian approach when we have two levels on the other hand. The main results of this paper are a new approach to estimate the mo

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Additional Info

Field Value
Source https://hal.science/hal-00654716
Author Le Gratiet, Loic
Maintainer CCSD
Last Updated November 2, 2026, 08:09 (UTC)
Created November 2, 2026, 08:09 (UTC)
Identifier hal-00654716
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire de Probabilités et Modèles Aléatoires (LPMA) ; Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)
creator Le Gratiet, Loic
date 2012-07-10T00:00:00
harvest_object_id ec937eae-fd27-4e62-a170-70bacccde9cb
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-04-02T00:00:00
relation info:eu-repo/semantics/altIdentifier/arxiv/1112.5389
set_spec type:OTHER