Multiplicative Kalman filtering

被引:0
|
作者
Fabienne Comte
Valentine Genon-Catalot
Mathieu Kessler
机构
[1] Université Paris Descartes,Laboratoire MAP 5
[2] UFR de Mathématiques et Informatique,Departamento de Matemática Aplicada y Estadística
[3] CNRS UMR 8145,undefined
[4] Universidad Politécnica de Cartagena,undefined
来源
TEST | 2011年 / 20卷
关键词
Filtering; Discrete time observations; Hidden Markov Models; Parametric inference; Scale perturbation; 60G35; 62M05; 60J60;
D O I
暂无
中图分类号
学科分类号
摘要
We study a non-linear Hidden Markov Model, where the process of interest is the absolute value of a discretely observed Ornstein–Uhlenbeck diffusion, which is observed after a multiplicative perturbation. We obtain explicit formulae for the recursive relations which link the relevant conditional distributions. As a consequence the predicted, filtered, and smoothed distributions for the hidden process can easily be computed. We illustrate the behaviour of these distributions on simulations.
引用
收藏
页码:389 / 411
页数:22
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