-
Gaussian and non-Gaussian processes of zero power variation
This paper considers the class of stochastic processes $X$ which are Volterra convolutions of a martingale $M$. When $M$ is Brownian motion, $X$ is Gaussian, and the... -
DiceKriging, DiceOptim: Two R packages for the analysis of computer experimen...
Two recently released R packages for the approximation and the optimization of expensive-to-evaluate deterministic functions are presented. After a motivation of the... -
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... -
Dynamics of Mandelbrot cascades
International audience -
Multiaccess Channel with Partially Cooperating Encoders and Security Constraints
International audience -
Suivi du regard non intrusif en tête libre à partir d'images vidéo
International audience -
From Stochastic Integration w.r.t. Fractional Brownian Motion to Stochastic I...
International audience -
Nonlinear spectral unmixing of hyperspectral images using Gaussian processes
International audience -
Automated In Vivo Dissection of White Matter Structures from Diffusion Magnet...
The motivation of this thesis is the in vivo dissection of the human brain's white matter from diffusion magnetic resonance imaging. This procedure isolates the human... -
Comparison inequalities on Wiener space
International audience -
Open problems in Gaussian fluid queueing theory
International audience -
Covariance kernels for simplified and interpretable modeling. A functional an...
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... -
KrigInv: An efficient and user-friendly implementation of batch-sequential in...
Several strategies relying on kriging have recently been proposed for adaptively estimating contour lines and excursion sets of functions under severely limited... -
Regularizing Priors for Linear Inverse Problems
This paper proposes a new Bayesian approach for estimating, nonparametrically, functional parameters in econometric models that are characterized as the solution of a... -
Energy balance in single exposure multispectral sensors
International audience -
Sure shrinkage of Gaussian paths and signal identification
International audience -
Efficient Computation of the Coupling Between a Vertical Line Source and a Slot
International audience
