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Exploring or reducing noise? A global optimization algorithm in the presence ...
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Bayesian statistics and applications to populations genetics
Statistical approaches in population genetics have two distinct objectives, which consist of describing the data and of inferring the evolutionary processes that... -
Inverse problems occurring in uncertainty analysis
This thesis provides a probabilistic solution to inverse problems through Bayesian techniques.The inverse problem considered here is to estimate the distribution of a... -
Quantile-based optimization of Noisy Computer Experiments with Tunable Precision
This article addresses the issue of kriging-based optimization of stochastic simulators. Many of these simulators depend on factors that tune the level of precision of... -
Design of nonlinear MPC by Kriging-based optimization
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Robust automatic tuning of diagnosis methods via an efficient use of costly s...
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Development of image processing methods for the determination of local variog...
Geostatistics provides many tools to characterize and deal with data spread in space. Most of these tools are based on the analysis and the modeling of a function... -
Worst-case global optimization of black-box functions through Kriging and rel...
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Meta-models for structural reliability and uncertainty quantification
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Corrected Kriging update formulae for batch-sequential data assimilation
Recently, a lot of effort has been paid to the efficient computation of Kriging predictors when observations are assimilated sequentially. In particular, Kriging... -
Design of computer experiments: space filling and beyond
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3D resistivity gridding of large AEM datasets: a step toward enhanced geologi...
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Adaptive surrogate models for reliability analysis and reliability-based desi...
This thesis is a contribution to the resolution of the reliability-based design optimization problem. This probabilistic design approach is aimed at considering the... -
Data-driven Kriging models based on FANOVA-decomposition
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Bayesian inference for inverse problems occurring in uncertainty analysis
The inverse problem considered here is to estimate the distribution of a non-observed random variable $X$ from some noisy observed data $Y$ linked to $X$ through a... -
MULTIPLES MÉTAMODÈLES POUR L'APPROXIMATION ET L'OPTIMISATION DE FONCTIONS NUM...
This dissertation takes place in the framework of design and analysis of computer experiments. More precisely, its main focus is on optimization strategies based on... -
Multivariate kriging
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Assessment by kriging of the reliability of structures subjected to fatigue s...
Traditional procedures for designing structures against fatigue are grounded upon the use of so-called safety factors in an attempt to ensure structural integrity... -
Structure of hydrothermal convection in the Upper Rhine Graben as inferred fr...
International audience
