非交换分式 SPDE 中的准可能性和准贝叶斯估计

Jaya P. N. Bishwal
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引用次数: 0

摘要

我们研究了在泊松过程的到达时间观测过程时,随机偏微分方程中漂移参数的准似然估计和准贝叶斯估计。与之前的研究不同,我们没有假定方程中的算子之间存在换元条件。我们采用两阶段估计程序。我们首先估计泊松过程的强度。然后,我们将这一估计值插入准概率中,以估计漂移参数。在算子的某些非退化假设下,我们得到了估计值的一致性和渐近正态性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quasi-likelihood and Quasi-Bayes Estimation in Noncommutative Fractional SPDEs
We study the quasi-likelihood and quasi Bayes estimator of the drift parameter in the stochastic partial differential equations when the process is observed at the arrival times of a Poisson process. Unlike the previous work, no commutativity condition is assumed between the operators in the equation. We use a two stage estimation procedure. We first estimate the intensity of the Poisson process. Then we plug-in this estimate in the quasi-likelihood to estimate the drift parameter. Under certain non-degeneracy assumptions on the operators, we obtain the consistency and the asymptotic normality of the estimators.
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