17 citations · 28 across the 6 of their papers we have counts for
6 papers
A semi-parametric estimation for max-mixture spatial processes
M. Ahmed, V Maume-Deschamps, P. Ribereau +1
We proposed a semi-parametric estimation procedure in order to estimate the parameters of a max-mixture model and also of a max-stable model (inverse max-stable model) as an altern…
Spatial Risk Measure for Max-Stable and Max-Mixture Processes
Ahmed Manaf, Véronique Maume-Deschamps, Pierre Ribereau +1
In this paper, we consider isotropic and stationary max-stable, inverse max-stable and max-mixture processes $X=(X(s))\_{s\in\bR^2}$ and the damage function $\cD\_X^ν= |X|^ν$ with…
Spatial risk measure for gaussian processes
M Ahmed, V Maume-Deschamps, P Ribereau +1
In this paper, we study the quantitative behavior of a spatial risk measure corresponding to a damage function and a region, taking into account the spatial dependence of the under…
Global smoothness estimation of a Gaussian process from regular sequence designs
Delphine Blanke, Céline Vial
We consider a real Gaussian process having a global unknown smoothness , $r_{\scriptscriptstyle 0}\in \mathds{N}_0$ and $β_…
Parameter tuning in pointwise adaptation using a propagation approach
Vladimir Spokoiny, Céline Vial
This paper discusses the problem of adaptive estimation of a univariate object like the value of a regression function at a given point or a linear functional in a linear inverse p…
Assessing extrema of empirical principal component functions
Peter Hall, Céline Vial
The difficulties of estimating and representing the distributions of functional data mean that principal component methods play a substantially greater role in functional data anal…