19 citations · 23 across the 7 of their papers we have counts for
7 papers
Constructing Bayes Minimax Estimators through Integral Transformations
Dominique Fourdrinier, William E. Strawderman, Martin T. Wells
The problem of Bayes minimax estimation for the mean of a multivariate normal distribution under quadratic loss has attracted significant attention recently. These estimators have…
Covariance matrix estimation under data-based loss
Anis M. Haddouche, Dominique Fourdrinier, Fatiha Mezoued
In this paper, we consider the problem of estimating the scale matrix of a multivariate linear regression model when the distribution of the…
Scale matrix estimation under data-based loss in high and low dimensions
Mohamed Anis Haddouche, Dominique Fourdrinier, Fatiha Mezoued
We consider the problem of estimating the scale matrix of the additif model , under a theoretical decision point of view. Here, is the nu…
Sharp non asymptotic oracle inequalities for non parametric computerized tomography model
Dominique Fourdrinier, Sergey Pergamenshchikov
We consider non parametric estimation problem for stochastic tomography regression model, i.e. we consider the estimation problem of function of multivariate variables (image) obse…
On efficient prediction and predictive density estimation for spherically symmetric models
Dominique Fourdrinier, Éric Marchand, William E. Strawderman
Let be spherically symmetric distributed having density with unknown parameters a…
AIC, Cp and estimators of loss for elliptically symmetric distributions
Aurélie Boisbunon, Stephane Canu, Dominique Fourdrinier +2
In this article, we develop a modern perspective on Akaike's Information Criterion and Mallows' Cp for model selection. Despite the diff erences in their respective motivation, the…