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arXiv 1109.0933math.PR
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分数阶Ornstein-Uhlenbeck单参数的最小二乘估计

Least squares estimator for the parameter of the fractional Ornstein-Uhlenbeck sheet

Jorge Clarke De La Cerda, Ciprian Tudor

摘要:

我们将研究分数Ornstein-Uhlenbeck单的漂移参数$θ$的最小二乘估计量$\hatθ_{T,S}$,该参数定义为朗之万方程的解X_{t,s} = -θ \int^{t}_{0} \int^{s}_{0} X_{v,u} dvdu + B^{α,β}_{t,s},\qquad(t,s)\in [0,T] \times [0,S]由分数布朗单$B^{α,β}$驱动,Hurst参数$α, β$在$(1/2, 5/8)$中。利用多重Wiener-Itô积分的性质,证明了参数$θ$的估计是强相合的.与一维情况相反,估计量$\hatθ_{T,S}$不是渐进正态的。

英文摘要:

We will study the least square estimator $\hatθ_{T,S}$ for the drift parameter $θ$ of the fractional Ornstein-Uhlenbeck sheet which is defined as the solution of the Langevin equation X_{t,s}= -θ\int^{t}_{0} \int^{s}_{0} X_{v,u}dvdu + B^{α, β}_{t,s}, \qquad (t,s) \in [0,T]\times [0,S] driven by the fractional Brownian sheet $B^{α,β}$ with Hurst parameters $α, β$ in $(1/2, 5/8)$. Using the properties of multiple Wiener-Itô integrals we prove that the estimator is strongly consistent for the parameter $θ$. In contrast to the one-dimensional case, the estimator $\hatθ_{T,S}$ is not asymptotically normal.

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