This work is concerned with the kernel-based approximation of a
complex-...
We consider an unknown multivariate function representing a system-such ...
This article focuses on the multi-objective optimization of stochastic
s...
This work presents a new procedure for obtaining predictive distribution...
In this article we revisit the problem of numerical integration for mono...
This article revisits the fundamental problem of parameter selection for...
Numerical models based on partial differential equations (PDE), or
integ...
This article focuses on numerical issues in maximum likelihood parameter...
This article deals with the sequential design of experiments for
(determ...
We consider the problem of estimating the parameters of the covariance
f...
In this article, we present a framework for taking into account user
pre...
A multi-fidelity simulator is a numerical model, in which one of the inp...
In this article, we consider a stochastic numerical simulator to assess ...
Gaussian process (GP) models have become a well-established frameworkfor...
This article addresses the problem of derivative-free (single- or
multi-...
We focus on the problem of estimating and quantifying uncertainties on t...