For the Ornstein-Uhlenbeck process, the asymptotic behavior of the maximum likelihood estimator of the drift parameter is totally different in the stable, unstable, and explosive cases. Notwithstanding of this trichotomy, we investigate sharp large deviation principles for this estimator in the three situations. In the explosive case, we exhibit a very unusual rate function with a shaped flat valley and an abrupt discontinuity point at its minimum
This paper studies one-dimensional Ornstein-Uhlenbeck (OU) processes, with the distinguishing featur...
We obtain exact large deviation rates for the log-likelihood ratio in testing models with observed O...
AbstractIn the present paper, we study the asymptotic behavior for estimator of the drift parameter ...
For the Ornstein-Uhlenbeck process, the asymptotic behavior of the maximum likelihood estimator of t...
AbstractFor the Ornstein–Uhlenbeck process, the asymptotic behavior of the maximum likelihood estima...
We investigate the large deviation properties of the maximum likelihood estimators for the Ornstein-...
Our goal is to establish large deviations and concentration inequalities for the maximum likelihood ...
Abstract. We investigate the large deviation properties of the maximum likeli-hood estimators for th...
A large deviation principle (LDP) with an explicit rate function is proved for the estimation of dri...
We establish large deviation principles for the couple of the maximum likelihood estimators of dimen...
We investigate the probabilities of large deviations of the maximum likelihood estimator and Bayes e...
AbstractIn this paper, we state a large deviation principle (LDP) and sharp LDP for maximum likeliho...
We investigate the sharp large deviation properties of the energy and the maximum likelihood estimat...
Berry-Esseen bounds, with random and nonrandom normings, and large deviation probability bounds for ...
AbstractAn asymptotic analysis is presented for estimation in the three-parameter Ornstein-Uhlenbeck...
This paper studies one-dimensional Ornstein-Uhlenbeck (OU) processes, with the distinguishing featur...
We obtain exact large deviation rates for the log-likelihood ratio in testing models with observed O...
AbstractIn the present paper, we study the asymptotic behavior for estimator of the drift parameter ...
For the Ornstein-Uhlenbeck process, the asymptotic behavior of the maximum likelihood estimator of t...
AbstractFor the Ornstein–Uhlenbeck process, the asymptotic behavior of the maximum likelihood estima...
We investigate the large deviation properties of the maximum likelihood estimators for the Ornstein-...
Our goal is to establish large deviations and concentration inequalities for the maximum likelihood ...
Abstract. We investigate the large deviation properties of the maximum likeli-hood estimators for th...
A large deviation principle (LDP) with an explicit rate function is proved for the estimation of dri...
We establish large deviation principles for the couple of the maximum likelihood estimators of dimen...
We investigate the probabilities of large deviations of the maximum likelihood estimator and Bayes e...
AbstractIn this paper, we state a large deviation principle (LDP) and sharp LDP for maximum likeliho...
We investigate the sharp large deviation properties of the energy and the maximum likelihood estimat...
Berry-Esseen bounds, with random and nonrandom normings, and large deviation probability bounds for ...
AbstractAn asymptotic analysis is presented for estimation in the three-parameter Ornstein-Uhlenbeck...
This paper studies one-dimensional Ornstein-Uhlenbeck (OU) processes, with the distinguishing featur...
We obtain exact large deviation rates for the log-likelihood ratio in testing models with observed O...
AbstractIn the present paper, we study the asymptotic behavior for estimator of the drift parameter ...