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Spatial representativeness of an air quality monitoring station. Delimitation...
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Kernels and designs for modelling invariant functions: From group invariance ...
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Parallel Budgeted Optimization Applied to the Design of an Air Duct
This work explores the benefits of cloud computing in the development of kriging-based parallel optimization algorithms dedicated to expensive-to-evaluate functions.... -
Spectral approach for kernel-based interpolation and conditional positivity
We propose a spectral approach for the resolution of kernel-based interpolation problems of which numerical solution can not be directly computed. Such a situation... -
Approximating computer experiments using partially converged simulations and ...
In the context of expensive numerical experiments, a promising solution to alleviate the computational costs consists of using partially converged simulations instead... -
Fast Computation of the Multi-points Expected Improvement with Applications i...
The Multipoint Expected Improvement criterion (or q-EI) has recently been studied in batch-sequential Bayesian Optimization. This paper deals with the new way of... -
Structure of hydrothermal convection in the Upper Rhine Graben as inferred fr...
Geothermal anomalies in sedimentary basins are strongly controlled by fluid circulation within permeable zones. This study presents a new compilation of newly... -
Kriging-based sequential design strategies using fast cross-validation techni...
Kriging-based surrogate models have become very popular during the last decades to approximate a computer code output from few simulations. In practical applications,... -
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...
International audience
