Approximation of nonlinear filtering problems and order of convergence

Approximation of nonlinear filtering problems and order of convergence
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非线性滤波问题的逼近和收敛阶数

DOI:
10.1007/bfb0006572
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发表时间:
1984
期刊:
Stochastics An International Journal of Probability and Stochastic Processes
影响因子:
--
通讯作者:
J. Picard
J. Picard
中科院分区:
--
文献类型:
--
作者:
J. Picard

文献摘要

被引文献

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在本文中,我们考虑了一个滤波问题,其中的观察是一个函数的扩散破坏了一个独立的白色噪声。我们估计的时间间隔的离散化所造成的误差,我们得到一些近似的最佳滤波器,可以计算与蒙特-卡罗方法,我们研究的收敛阶。
In this paper, we consider a filtering problem where the observation is a function of a diffusion corrupted by an independent white noise. We estimate the error caused by a discretization of the time interval ; we obtain some approximations of the optimal filter which can be computed with Monte-Carlo methods and we study the order of convergence.