Approximating Continuous Markov Processes

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Summary

This work shows how to approximate continuous systems by a countable family of nite-state probabilistic systems, how to reconstruct the full system from these nite approximant results, and shows that reasoning about properties deenable in a rich logic can be carried out in terms of the approximants.

Type
article
Published
2000-01-01
Cited by
11
References
37

Keywords

Markov chain, Mathematics, Markov process, Computer science, Statistics

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