activity
20042009
most citedGaussian model selection with an unknown variance

57 citations · 61 across the 5 of their papers we have counts for

collaborators

7 papers

math.ST2009

A Bernstein-type inequality for suprema of random processes with applications to model selection in non-Gaussian regression

Yannick Baraud

Let $\pa{X_{t}}_{t\in T}$ be a family of real-valued centered random variables indexed by a countable set . In the first part of this paper, we establish exponential bounds for…

math.ST2009

Estimator selection with respect to Hellinger-type risks

Yannick Baraud

We observe a random measure and aim at estimating its intensity . This statistical framework allows to deal simultaneously with the problems of estimating a density, the mar…

math.ST20094 cited

A Bernstein-type inequality for suprema of random processes with an application to statistics

Yannick Baraud

We use the generic chaining device proposed by Talagrand to establish exponential bounds on the deviation probability of some suprema of random processes. Then, given a random vect…

math.ST200757 cited

Gaussian model selection with an unknown variance

Yannick Baraud, Christophe Giraud, Sylvie Huet

Let be a Gaussian vector whose components are independent with a common unknown variance. We consider the problem of estimating the mean of by model selection. More pre…

math.ST2006

Estimating the intensity of a random measure by histogram type estimators

Yannick Baraud, Lucien Birgé

The purpose of this paper is to estimate the intensity of some random measure by a piecewise constant function on a finite partition of the underlying measurable space. Given a (po…

math.ST2005

Testing convex hypotheses on the mean of a Gaussian vector. Application to testing qualitative hypotheses on a regression function

Yannick Baraud, Sylvie Huet, Beatrice Laurent

In this paper we propose a general methodology, based on multiple testing, for testing that the mean of a Gaussian vector in R^n belongs to a convex set. We show that the test achi…