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Dive into the research topics where Céline Lacaux is active.

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Featured researches published by Céline Lacaux.


Stochastics An International Journal of Probability and Stochastic Processes | 2013

On locally self-similar fractional random fields indexed by a manifold

Jacques Istas; Céline Lacaux

Local self-similarity for Euclidean random fields has been introduced since a while. In this paper, we extend it for manifold indexed random fields. We then give examples and derive some properties of the tangent field. In the Gaussian and α-stable cases, we obtain the expected relations between the fractional index H and the stability index α.


Bernoulli | 2015

Modulus of continuity of some conditionally sub-Gaussian fields, application to stable random fields

Hermine Biermé; Céline Lacaux

In this paper, we study modulus of continuity and rate of convergence of series of conditionally sub-Gaussian random fields. This framework includes both classical series representations of Gaussian fields and LePage series representations of stable fields. We enlighten their anisotropic properties by using an adapted quasi-metric instead of the classical Euclidean norm. We specify our assumptions in the case of shot noise series where arrival times of a Poisson process are involved. This allows us to state unified results for harmonizable (multi)operator scaling stable random fields through their LePage series representation, as well as to study sample path properties of their multistable analogous.


Bellman Prize in Mathematical Biosciences | 2015

Monte Carlo methods for light propagation in biological tissues

Laura Vinckenbosch; Céline Lacaux; Samy Tindel; Magalie Thomassin; Tiphaine Obara

Light propagation in turbid media is driven by the equation of radiative transfer. We give a formal probabilistic representation of its solution in the framework of biological tissues and we implement algorithms based on Monte Carlo methods in order to estimate the quantity of light that is received by a homogeneous tissue when emitted by an optic fiber. A variance reduction method is studied and implemented, as well as a Markov chain Monte Carlo method based on the Metropolis-Hastings algorithm. The resulting estimating methods are then compared to the so-called Wang-Prahl (or Wang) method. Finally, the formal representation allows to derive a non-linear optimization algorithm close to Levenberg-Marquardt that is used for the estimation of the scattering and absorption coefficients of the tissue from measurements.


Bulletin of The London Mathematical Society | 2009

Hitting probabilities and the Hausdorff dimension of the inverse images of anisotropic Gaussian random fields

Hermine Biermé; Céline Lacaux; Yimin Xiao


Stochastic Processes and their Applications | 2009

Hölder regularity for operator scaling stable random fields

Hermine Biermé; Céline Lacaux


Stochastic Processes and their Applications | 2008

A general framework for simulation of fractional fields

Serge Cohen; Céline Lacaux; Michel Ledoux


ALEA-Latin American Journal of Probability and Mathematical Statistics | 2013

LAN property for some fractional type Brownian motion

Serge Cohen; Fabrice Gamboa; Céline Lacaux; Jean-Michel Loubes


Stochastic Processes and their Applications | 2011

Multi-operator scaling random fields

Hermine Biermé; Céline Lacaux; Hans-Peter Scheffler


Bernoulli | 2016

Time-changed extremal process as a random sup measure

Céline Lacaux; Gennady Samorodnitsky


Metrika | 2014

Convergence and performance of the peeling wavelet denoising algorithm

Céline Lacaux; Aurélie Muller-Gueudin; Radu Ranta; Samy Tindel

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Hermine Biermé

Paris Descartes University

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Serge Cohen

Paul Sabatier University

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Hans-Peter Scheffler

Folkwang University of the Arts

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Fabrice Gamboa

Institut de Mathématiques de Toulouse

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Jean-Michel Loubes

Institut de Mathématiques de Toulouse

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Michel Ledoux

Institut Universitaire de France

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Radu Ranta

University of Lorraine

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