AbstractIn the present paper, we study the asymptotic behavior for estimator of the drift parameter in an Ornstein–Uhlenbeck process. The Lr-convergence rate and the precise asymptotics in the law of iterated logarithm and in the law of logarithm for the estimator are obtained. Moreover, we also get the complete moment convergence of this estimator. The main method of this paper is the deviation inequality for the quadratic functional
Abstract We study the minimum Skorohod distance estimation θε∗ $\theta _{\varepsilon}^{\ast }$ and m...
We investigate the asymptotic properties of the sequential maximum likelihhod estimator of the drift...
We study the problem of parameter estimation for generalized Ornstein-Uhlenbeck processes with small...
Berry-Esseen bounds, with random and nonrandom normings, and large deviation probability bounds for ...
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...
AbstractThe exact distribution of the maximum-likelihood estimator of the drift (damping) parameter ...
In this paper, we deal with an Ornstein–Uhlenbeck process driven by sub-fractional Brownian motion o...
AbstractFor the Ornstein–Uhlenbeck process, the asymptotic behavior of the maximum likelihood estima...
The Ornstein-Uhlenbeck process has countless practical applications most of which rely on having pre...
A large deviation principle (LDP) with an explicit rate function is proved for the estimation of dri...
parameter θ and where the noise is modeled as fractional Brownian motionwith Hurst index H ∈ (0, 12 ...
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...
peer reviewedThe fractional Ornstein–Uhlenbeck process of the second kind (fOU2) is the solution of ...
Abstract We study the minimum Skorohod distance estimation θε∗ $\theta _{\varepsilon}^{\ast }$ and m...
We investigate the asymptotic properties of the sequential maximum likelihhod estimator of the drift...
We study the problem of parameter estimation for generalized Ornstein-Uhlenbeck processes with small...
Berry-Esseen bounds, with random and nonrandom normings, and large deviation probability bounds for ...
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...
AbstractThe exact distribution of the maximum-likelihood estimator of the drift (damping) parameter ...
In this paper, we deal with an Ornstein–Uhlenbeck process driven by sub-fractional Brownian motion o...
AbstractFor the Ornstein–Uhlenbeck process, the asymptotic behavior of the maximum likelihood estima...
The Ornstein-Uhlenbeck process has countless practical applications most of which rely on having pre...
A large deviation principle (LDP) with an explicit rate function is proved for the estimation of dri...
parameter θ and where the noise is modeled as fractional Brownian motionwith Hurst index H ∈ (0, 12 ...
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...
peer reviewedThe fractional Ornstein–Uhlenbeck process of the second kind (fOU2) is the solution of ...
Abstract We study the minimum Skorohod distance estimation θε∗ $\theta _{\varepsilon}^{\ast }$ and m...
We investigate the asymptotic properties of the sequential maximum likelihhod estimator of the drift...
We study the problem of parameter estimation for generalized Ornstein-Uhlenbeck processes with small...