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Simultaneous estimation of the mean and the variance in heteroscedastic Gaussian regression
Let Y be a Gaussian vector of ℝn of mean s and diagonal covariance matrix Γ. Our aim is to estimate both s and the entries σi=Γi,i, for i=1,…,n, on the basis of the observation of two independent copies of Y. Our approach is free of any prior assumption on …