By Jie Xiong
As a subject matter, Stochastic Filtering idea has advanced speedily lately. for instance, the (branching) particle method illustration of the optimum filter out has been widely studied to hunt more desirable numerical approximations of the optimum filter out; the soundness of the clear out with "incorrect" preliminary country, in addition to the long term habit of the optimum filter out, has attracted the eye of many researchers; and even supposing nonetheless in its infancy, the learn of singular filtering versions has yielded interesting results.
In this article, Jie Xiong introduces the reader to the fundamentals of Stochastic Filtering concept earlier than protecting those key fresh advances. The textual content is written in a method compatible for graduates in arithmetic and engineering with a heritage in simple probability.
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Additional info for An Introduction to Stochastic Filtering Theory (Oxford Graduate Texts in Mathematics)
An Introduction to Stochastic Filtering Theory (Oxford Graduate Texts in Mathematics) by Jie Xiong