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- Large deviation upper bound and its application to measure valued processes

Abstract

The objective of present chapter is to discuss the large deviation upper bound on a class of metric space and try to find general conditions for getting the upper bound. The motivation for this research is to study the large deviation of a class of measure valued-Markov processes discussed. It turns out that in this situation the upper bound is the most difficult part in establishing the large deviation principle. A detailed discussion is given about several kinds of measurability for the space of measure-valued cadlag paths satisfying certain moment condition.

Authors

Feng S

Book title

Asymptotic Methods in Probability and Statistics

Editors

Szyszkowicz B

Pagination

pp. 441-451

Publisher

North-Holland

Place of publication

Amsterdam

Publication Date

January 1, 1998

ISBN-13

978-0-444-50083-0

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