On a robust version of the integral representation formula of nonlinear filtering
成果类型:
Article
署名作者:
Clark, JMC; Crisan, D
署名单位:
Imperial College London; Imperial College London
刊物名称:
PROBABILITY THEORY AND RELATED FIELDS
ISSN/ISSBN:
0178-8051
DOI:
10.1007/s00440-004-0412-5
发表日期:
2005
页码:
43-56
关键词:
equations
摘要:
The paper is concerned with completing unfinished business on a robust representation formula for the conditional expectation operator of nonlinear filtering. Such a formula, robust in the sense that its dependence on the process of observations is continuous, was stated in [2] without proof. The main purpose of this paper is to repair this deficiency. The formula is almost obvious as it can be derived at a formal level by a process of integration-by-parts applied to the stochastic integrals that appear in the integral representation formula. However, the rigorous justification of the formula is quite subtle, as it hinges on a measurability argument the necessity of which is easy to miss at first glance. The continuity of the representation (but not its validity) was proved by Kushner [9] for a class of diffusions.