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Estimation of parameters for discretely observed diffusion processes with a variety of rates for information

机译:估计具有各种速率的离散观测扩散过程的参数

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摘要

A specific form of stochastic differential equation with unknown parameters are considered. We do not necessarily assume ergodicity or recurrency, and any moment conditions for the true process, but some tightness conditions for an information-like quantity. The interest is to estimate the parameters from discrete observations the step size of which tends to zero. Consistency and the rate of convergence of proposed estimators are presented. The rate is deduced naturally from the rate for the information-like quantities.
机译:考虑参数未知的随机微分方程的一种特殊形式。我们不一定要假设遍历性或重复性以及真实过程的任何时刻条件,而要假设类似信息量的某些紧密性条件。感兴趣的是从离散观测估计参数,步长趋于零。给出了估计量的一致性和收敛速度。从类似信息量的比率中自然推导出比率。

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