Berry-Esseen bounds, with random and nonrandom normings, and large deviation probability bounds for two approximate maximum likelihood estimators of the drift parameter in the Ornstein-Uhlenbeck process are obtained when the process is observed at equally spaced dense time points. Also obtained are the rates at which these estimators converge to the maximum likelihood estimator based on continuous observation
32 pagesInternational audienceIn this paper we investigate the large-sample behaviour of the maximum...
For the Ornstein-Uhlenbeck process, the asymptotic behavior of the maximum likelihood estimator of t...
AbstractThe exact distribution of the maximum-likelihood estimator of the drift (damping) parameter ...
Berry-Esseen bounds, with random and nonrandom normings, and large deviation probability bounds for ...
AbstractBerry-Esseen bounds, with random and nonrandom normings, and large deviation probability bou...
Our goal is to establish large deviations and concentration inequalities for the maximum likelihood ...
We investigate the large deviation properties of the maximum likelihood estimators for the Ornstein-...
We investigate the probabilities of large deviations of the maximum likelihood estimator and Bayes e...
Abstract. We investigate the large deviation properties of the maximum likeli-hood estimators for th...
AbstractIn the present paper, we study the asymptotic behavior for estimator of the drift parameter ...
A large deviation principle (LDP) with an explicit rate function is proved for the estimation of dri...
We consider the problem of efficient estimation of the drift parameter of an Ornstein-Uhlenbeck type...
We establish large deviation principles for the couple of the maximum likelihood estimators of dimen...
Uhlenbeck process Some deviation inequalities and moderate deviation principles for the maximum like...
The paper is concerned with the study of the rate of convergence of the distribution of a maximum li...
32 pagesInternational audienceIn this paper we investigate the large-sample behaviour of the maximum...
For the Ornstein-Uhlenbeck process, the asymptotic behavior of the maximum likelihood estimator of t...
AbstractThe exact distribution of the maximum-likelihood estimator of the drift (damping) parameter ...
Berry-Esseen bounds, with random and nonrandom normings, and large deviation probability bounds for ...
AbstractBerry-Esseen bounds, with random and nonrandom normings, and large deviation probability bou...
Our goal is to establish large deviations and concentration inequalities for the maximum likelihood ...
We investigate the large deviation properties of the maximum likelihood estimators for the Ornstein-...
We investigate the probabilities of large deviations of the maximum likelihood estimator and Bayes e...
Abstract. We investigate the large deviation properties of the maximum likeli-hood estimators for th...
AbstractIn the present paper, we study the asymptotic behavior for estimator of the drift parameter ...
A large deviation principle (LDP) with an explicit rate function is proved for the estimation of dri...
We consider the problem of efficient estimation of the drift parameter of an Ornstein-Uhlenbeck type...
We establish large deviation principles for the couple of the maximum likelihood estimators of dimen...
Uhlenbeck process Some deviation inequalities and moderate deviation principles for the maximum like...
The paper is concerned with the study of the rate of convergence of the distribution of a maximum li...
32 pagesInternational audienceIn this paper we investigate the large-sample behaviour of the maximum...
For the Ornstein-Uhlenbeck process, the asymptotic behavior of the maximum likelihood estimator of t...
AbstractThe exact distribution of the maximum-likelihood estimator of the drift (damping) parameter ...