Least Squares Estimation for Path-distribution Dependent Stochastic Differential Equations Driven by Fractional Brownian Motions
摘要
In this paper, we consider least squares estimator for an unknown parameter in the drift coeffcient of path-distribution dependent stochastic differential equation driven by fractional Brownian motions with Hurst parameter H ∈ (1/2, 1). Based on n (n ∈ ℕ) discrete time observations of the stochastic differential equation, the estimator is shown to be convergent to the true value as the small dispersion parameter ε → 0 and n → ∞. Moreover, we obtain the asymptotic distribution of the estimator. At last, we provide an example to illustrate our results and give the numerical simulations to support our theoretical analysis.