15 datasets found

Statistical approaches in population genetics have two distinct objectives, which consist of describing the data and of inferring the evolutionary processes that...

This thesis provides a probabilistic solution to inverse problems through Bayesian techniques.The inverse problem considered here is to estimate the distribution of a...

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...

This thesis is a contribution to the resolution of the reliability-based design optimization problem. This probabilistic design approach is aimed at considering the...

The framework of this thesis is the approximation of functions for which the value is known at limited number of points. More precisely, we consider here the so-called...

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...

Traditional procedures for designing structures against fatigue are grounded upon the use of so-called safety factors in an attempt to ensure structural integrity...

La thèse est structurée en trois chapitres. Dans le premier, on rappelle brièvement le contexte historique et législatif de l'évolution de l'assainissement en Europe....

Physico-chemical models designed to represent experimental reality may prove to be inadequate. This is the case of nitrogen oxide trap, used as an application support...

The framework of this thesis is the approximation of functions for which thevalue is known at limited number of points. More precisely, we consider here the...

This thesis deals with the problem of global optimization of expensive-to-evaluate functions in a Bayesian framework. We say that a function is expensive-to-evaluate...

The parametric estimation of the covariance function of a Gaussian process is studied, in the framework of the Kriging model. Maximum Likelihood and Cross Validation...

In competitive industries, a reliable yield forecasting is a prime factor to accurately determine the production costs and therefore ensure profitability. Indeed,...