LAN property for stochastic differential equations driven by fractional Brownian motion of Hurst parameter
arXiv:1804.04108
Abstract
In this paper, we consider the problem of estimating the drift parameter of solution to the stochastic differential equation driven by a fractional Brownian motion with Hurst parameter less than under complete observation. We derive a formula for the likelihood ratio and prove local asymptotic normality when . Our result shows that the convergence rate is for the parameters satisfying a certain equation and for the others.
arXiv commentv1: 48 pages, comments are welcome. v2: 48 pages, (1) some proofs are simplified, (2) some mistakes are corrected, and (3) a sketch of the proof and the calculation of the Fisher information in fOU case are added
References in corpus (4)
- Random attractors for a class of stochastic partial differential equations driven by general additive noise
- Approximation of stationary solutions of Gaussian driven Stochastic Differential Equations
- Drift parameter estimation for nonlinear stochastic differential equations driven by fractional Brownian motion
- LAN property for stochastic differential equations with additive fractional noise and continuous time observation