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20102025
most citedSequential design of computer experiments for the estimation of a probability of failure

324 citations · 484 across the 31 of their papers we have counts for

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5 papers · 1 filter

math.ST2023

Consistency of some sequential experimental design strategies for excursion set estimation based on vector-valued Gaussian processes

Philip Stange, David Ginsbourger

We tackle the extension to the vector-valued case of consistency results for Stepwise Uncertainty Reduction sequential experimental design strategies established in [Bect et al., A…

math.ST2022

Disintegration of Gaussian Measures for Sequential Assimilation of Linear Operator Data

Cédric Travelletti, David Ginsbourger

Gaussian processes appear as building blocks in various stochastic models and have been found instrumental to account for imprecisely known, latent functions. It is often the case…

math.ST2021

Continuous logistic Gaussian random measure fields for spatial distributional modelling

Athénaïs Gautier, David Ginsbourger

We study Spatial Logistic Gaussian Process (SLGP) models for non-parametric estimation of probability density fields using scattered samples of heterogeneous sizes. SLGPs are exami…

math.ST2015★ 29 cited

Quantifying uncertainties on excursion sets under a Gaussian random field prior

Dario Azzimonti, Julien Bect, Clément Chevalier +1

We focus on the problem of estimating and quantifying uncertainties on the excursion set of a function under a limited evaluation budget. We adopt a Bayesian approach where the obj…

math.ST2013★ 3 cited

Invariances of random fields paths, with applications in Gaussian Process Regression

David Ginsbourger, Olivier Roustant, Nicolas Durrande

We study pathwise invariances of centred random fields that can be controlled through the covariance. A result involving composition operators is obtained in second-order settings,…