Parametric estimation for partially hidden diffusion processes sampled at discrete times
Abstract
For a one dimensional diffusion process X=\X(t) ; 0≤ t ≤ T \, we suppose that X(t) is hidden if it is below some fixed and known threshold τ, but otherwise it is visible. This means a partially hidden diffusion process. The problem treated in this paper is to estimate finite dimensional parameter in both drift and diffusion coefficients under a partially hidden diffusion process obtained by a discrete sampling scheme. It is assumed that the sampling occurs at regularly spaced time intervals of length hn such that n hn=T. The asymptotic is when hn0, T∞ and n hn2 0 as n∞. Consistency and asymptotic normality for estimators of parameters in both drift and diffusion coefficients are proved.
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