57 citations · 134 across the 21 of their papers we have counts for
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math.ST2007
Mixing Least-Squares Estimators when the Variance is Unknown
Christophe Giraud
We propose a procedure to handle the problem of Gaussian regression when the variance is unknown. We mix least-squares estimators from various models according to a procedure inspi…
math.ST2007★ 18 cited
Estimation of Gaussian graphs by model selection
Christophe Giraud
We investigate in this paper the estimation of Gaussian graphs by model selection from a non-asymptotic point of view. We start from a n-sample of a Gaussian law P_C in R^p and foc…
math.ST2007★ 57 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…