Abstract. The purpose of this paper is to investigate the deviation inequalities and the moderate deviation principle of the least squares estimators of the unknown parameters of general pth-order asymmetric bifurcating autoregressive processes, under suitable assumptions on the driven noise of the process. Our investigation relies on the moderate deviation principle for martingales. Résumé. L'objetcif de ce papier est d'établir des inégalités de déviations et les principes de déviations modérées pour les estimateurs des moindres carrés des paramètres inconnus d'un processus bifurcant autorégressif asymétrique d'ordre p, sous certaines conditions sur la suite des bruits. Les preuves reposent sur les principes de déviatio...
International audienceRecently, nonparametric techniques have been proposed to study bifurcating aut...
International audienceRecently, nonparametric techniques have been proposed to study bifurcating aut...
We study the least-square (LS) estimator of the unknown parameters of a bifurcating auto-regressive ...
41 pagesInternational audienceThe purpose of this paper is to investigate the deviation inequalities...
Abstract. The purpose of this paper is to investigate the deviation inequalities and the moderate de...
56 pagesInternational audienceFirst, under a geometric ergodicity assumption, we provide some limit ...
AbstractA moderate deviation principle for autoregressive processes is established. As statistical a...
International audienceBifurcating autoregressive processes, which can be seen as an adaptation of au...
International audienceBifurcating autoregressive processes, which can be seen as an adaptation of au...
International audienceBifurcating autoregressive processes, which can be seen as an adaptation of au...
Abstract We study the asymptotic behavior of the least squares estimators of the unknown parameters ...
AbstractA moderate deviation principle for autoregressive processes is established. As statistical a...
A moderate deviation principle for autoregressive processes is established. As statistical applicati...
We study the asymptotic behavior of the least squares estimators of the unknown parameters of bifurc...
Abstract We study the asymptotic behavior of the least squares estimators of the unknown parameters ...
International audienceRecently, nonparametric techniques have been proposed to study bifurcating aut...
International audienceRecently, nonparametric techniques have been proposed to study bifurcating aut...
We study the least-square (LS) estimator of the unknown parameters of a bifurcating auto-regressive ...
41 pagesInternational audienceThe purpose of this paper is to investigate the deviation inequalities...
Abstract. The purpose of this paper is to investigate the deviation inequalities and the moderate de...
56 pagesInternational audienceFirst, under a geometric ergodicity assumption, we provide some limit ...
AbstractA moderate deviation principle for autoregressive processes is established. As statistical a...
International audienceBifurcating autoregressive processes, which can be seen as an adaptation of au...
International audienceBifurcating autoregressive processes, which can be seen as an adaptation of au...
International audienceBifurcating autoregressive processes, which can be seen as an adaptation of au...
Abstract We study the asymptotic behavior of the least squares estimators of the unknown parameters ...
AbstractA moderate deviation principle for autoregressive processes is established. As statistical a...
A moderate deviation principle for autoregressive processes is established. As statistical applicati...
We study the asymptotic behavior of the least squares estimators of the unknown parameters of bifurc...
Abstract We study the asymptotic behavior of the least squares estimators of the unknown parameters ...
International audienceRecently, nonparametric techniques have been proposed to study bifurcating aut...
International audienceRecently, nonparametric techniques have been proposed to study bifurcating aut...
We study the least-square (LS) estimator of the unknown parameters of a bifurcating auto-regressive ...