Statistical inference for Vasicek-type model driven by self-similar Gaussian processes
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Publication:5085589
DOI10.1080/03610926.2018.1543774OpenAlexW2904035946MaRDI QIDQ5085589
Publication date: 27 June 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2018.1543774
Least squares and related methods for stochastic control systems (93E24) Self-similar stochastic processes (60G18) Numerical solutions to stochastic differential and integral equations (65C30)
Related Items (4)
Least-squares estimation for the Vasicek model driven by the complex fractional Brownian motion ⋮ Parameter estimation for Vasicek model driven by a general Gaussian noise ⋮ Least squares type estimators for the drift parameters in the sub-bifractional Vasicek processes ⋮ Maximum likelihood estimation for sub-fractional Vasicek model
Cites Work
- Unnamed Item
- Multivariate central limit theorems for averages of fractional Volterra processes and applications to parameter estimation
- Least squares estimation for Ornstein-Uhlenbeck processes driven by the weighted fractional Brownian motion
- Distributions of the maximum likelihood and minimum contrast estimators associated with the fractional Ornstein-Uhlenbeck process
- Selected aspects of fractional Brownian motion.
- Maximum likelihood estimation for the non-ergodic fractional Ornstein-Uhlenbeck process
- Least squares estimator for non-ergodic Ornstein-Uhlenbeck processes driven by Gaussian processes
- Parameter estimation for fractional Ornstein-Uhlenbeck processes at discrete observation
- Parameter estimation for fractional Ornstein-Uhlenbeck processes
- Least squares estimation for the drift parameters in the sub-fractional Vasicek processes
- Statistical analysis of the fractional Ornstein--Uhlenbeck type process
- Parametric estimation for sub-fractional Ornstein-Uhlenbeck process
- On the collision local time of sub-fractional Brownian motions
- Statistical inference for Vasicek-type model driven by Hermite processes
- Least squares estimator for Ornstein-Uhlenbeck processes driven by fractional Lévy processes from discrete observations
- On bifractional Brownian motion
- Statistical aspects of the fractional stochastic calculus
- Analysis of Variations for Self-similar Processes
- The Pathwise Convergence of Approximation Schemes for Stochastic Differential Equations
- The Malliavin Calculus and Related Topics
- Non-central limit theorems for quadratic functionals of Hermite-driven long memory moving average processes
- ASYMPTOTIC THEORY FOR ESTIMATING DRIFT PARAMETERS IN THE FRACTIONAL VASICEK MODEL
- An Approximation of Subfractional Brownian Motion
- Some properties of the sub-fractional Brownian motion
- Wiener Integrals with Respect to the Hermite Process and a Non-Central Limit Theorem
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