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20172020
most citedAsymptotic distribution of least square estimators for linear models with dependent errors

4 citations · 14 across the 4 of their papers we have counts for

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5 papers

stat.ML2020★ 2 cited

A finite sample analysis of the benign overfitting phenomenon for ridge function estimation

Emmanuel Caron, Stephane Chretien

Recent extensive numerical experiments in high scale machine learning have allowed to uncover a quite counterintuitive phase transition, as a function of the ratio between the samp…

math.ST2020

Gaussian linear model selection in a dependent context

Emmanuel Caron, Jérôme Dedecker, Bertrand Michel

In this paper, we study the nonparametric linear model, when the error process is a dependent Gaussian process. We focus on the estimation of the mean vector via a model selection…

stat.AP2019★ 4 cited

Linear regression with stationary errors : the R package slm

Emmanuel Caron, Jérôme Dedecker, Bertrand Michel

This paper introduces the R package slm which stands for Stationary Linear Models. The package contains a set of statistical procedures for linear regression in the general context…

math.ST2018★ 4 cited

Asymptotic distribution of least square estimators for linear models with dependent errors

Emmanuel Caron

In this paper, we consider the usual linear regression model in the case where the error process is assumed strictly stationary. We use a result from Hannan (1973), who proved a Ce…

math.ST2017★ 4 cited

Asymptotic distribution of least squares estimators for linear models with dependent errors : regular designs

Emmanuel Caron, Sophie Dede

In this paper, we consider the usual linear regression model in the case where the error process is assumed strictly stationary. We use a result from Hannan, who proved a Central L…