International audienceFor 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
AbstractIn this paper, we state a large deviation principle (LDP) and sharp LDP for maximum likeliho...
International audienceFor the Ornstein-Uhlenbeck process, the asymptotic behavior of the maximum lik...
International audienceWe investigate the sharp large deviation properties of the energy and the maxi...
For the Ornstein-Uhlenbeck process, the asymptotic behavior of the maximum likelihood estimator of t...
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...
International audienceFor the Ornstein-Uhlenbeck process, the asymptotic behavior of the maximum lik...
Abstract. We investigate the large deviation properties of the maximum likeli-hood estimators for th...
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 ...
International audienceFor the Ornstein-Uhlenbeck process, the asymptotic behavior of the maximum lik...
We investigate the large deviation properties of the maximum likelihood estimators for the Ornstein-...
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...
International audienceFor the Ornstein-Uhlenbeck process, the asymptotic behavior of the maximum lik...
International audienceWe investigate the sharp large deviation properties of the energy and the maxi...
For the Ornstein-Uhlenbeck process, the asymptotic behavior of the maximum likelihood estimator of t...
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...
International audienceFor the Ornstein-Uhlenbeck process, the asymptotic behavior of the maximum lik...
Abstract. We investigate the large deviation properties of the maximum likeli-hood estimators for th...
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 ...
International audienceFor the Ornstein-Uhlenbeck process, the asymptotic behavior of the maximum lik...
We investigate the large deviation properties of the maximum likelihood estimators for the Ornstein-...
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...
International audienceFor the Ornstein-Uhlenbeck process, the asymptotic behavior of the maximum lik...
International audienceWe investigate the sharp large deviation properties of the energy and the maxi...