Let f be a C1 bivariate function with Lipschitz derivatives, and F = {x ∈ R2 : f(x) λ} an upper level set of f, with λ ∈ R. We present a new identity giving the Euler charac- teristic of F in terms of its three-points indicator functions. A bound on the number of connected components of F in terms of the values of f and its gradient, valid in higher dimensions, is also derived. In dimension 2, if f is a random field, this bound allows to pass the former identity to expectations if f’s partial derivatives have Lipschitz constants with finite moments of sufficiently high order, without requiring bounded conditional den- sities. This approach provides an expression of the mean Euler characteristic in terms of the field’s third order marginal...
International audienceThere exist two variants of the change of variables formula for multiple integ...
In this thesis we consider two outstanding problems in the statistical analysis of random field data...
AbstractWe study the probability distribution F(u) of the maximum of smooth Gaussian fields defined ...
HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific res...
Given a deterministic function f : R 2 → R satisfying suitable assumptions , we show that for h smoo...
Local increases in the mean of a random field are detected (conserva-tively) by thresholding a field...
International audienceThe full moments expansion of the joint probability distribution of an isotrop...
International audienceIn the present paper, we deal with a stationary isotropic random field X : R d...
International audienceWe study the Euler characteristic of an excursion set of a stationary isotrop...
The Euler Characteristic (EC) densities for non-central T- and F-fields can be obtained by ρi(u) = ...
For a smooth stationary Gaussian field on $\mathbb{R}^d$ and level $\ell \in \mathbb{R}$, we conside...
International audienceWe introduce the level perimeter integral and the total curvature integral ass...
Our interest in this paper is to explore limit theorems for various geometric function-als of excurs...
We consider smooth, infinitely divisible random fields with regularly varying Levy measure, and ar...
For a smooth stationary Gaussian field f on R d and level ℓ ∈ R, we consider the number of connected...
International audienceThere exist two variants of the change of variables formula for multiple integ...
In this thesis we consider two outstanding problems in the statistical analysis of random field data...
AbstractWe study the probability distribution F(u) of the maximum of smooth Gaussian fields defined ...
HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific res...
Given a deterministic function f : R 2 → R satisfying suitable assumptions , we show that for h smoo...
Local increases in the mean of a random field are detected (conserva-tively) by thresholding a field...
International audienceThe full moments expansion of the joint probability distribution of an isotrop...
International audienceIn the present paper, we deal with a stationary isotropic random field X : R d...
International audienceWe study the Euler characteristic of an excursion set of a stationary isotrop...
The Euler Characteristic (EC) densities for non-central T- and F-fields can be obtained by ρi(u) = ...
For a smooth stationary Gaussian field on $\mathbb{R}^d$ and level $\ell \in \mathbb{R}$, we conside...
International audienceWe introduce the level perimeter integral and the total curvature integral ass...
Our interest in this paper is to explore limit theorems for various geometric function-als of excurs...
We consider smooth, infinitely divisible random fields with regularly varying Levy measure, and ar...
For a smooth stationary Gaussian field f on R d and level ℓ ∈ R, we consider the number of connected...
International audienceThere exist two variants of the change of variables formula for multiple integ...
In this thesis we consider two outstanding problems in the statistical analysis of random field data...
AbstractWe study the probability distribution F(u) of the maximum of smooth Gaussian fields defined ...