Mixingale Estimation Function for SPDEs with Random Sampling

J. Bishwal
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引用次数: 2

Abstract

We study the mixingale estimation function estimator of the drift parameter in the stochastic partial differential equation when the process is observed at the arrival times of a Poisson process. We use a two stage estimation procedure. We first estimate the intensity of the Poisson process. Then we substitute this estimate in the estimation function to estimate the drift parameter. We obtain the strong consistency and the asymptotic normality of the mixingale estimation function estimator.
随机抽样SPDEs的混合估计函数
研究了在泊松过程到达时间观测随机偏微分方程漂移参数的混合估计函数估计。我们使用两阶段估计过程。我们首先估计泊松过程的强度。然后将这个估计值代入估计函数来估计漂移参数。得到了混合估计函数估计量的强相合性和渐近正态性。
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