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On strong forms of weak convergence

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UNSPECIFIED (1997) On strong forms of weak convergence. STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 67 (1). pp. 41-53. ISSN 0304-4149

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Abstract

We discuss three forms of convergence in distribution which are stronger than the normal weak convergence, and are non-topological in nature. We give Skorokhod representation results for two of these modes of convergence, and give applications to sufficient statistics and conditioned Markov processes, which an more difficult to obtain using weak convergence.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Journal or Publication Title: STOCHASTIC PROCESSES AND THEIR APPLICATIONS
Publisher: ELSEVIER SCIENCE BV
ISSN: 0304-4149
Date: 28 April 1997
Volume: 67
Number: 1
Number of Pages: 13
Page Range: pp. 41-53
Publication Status: Published
URI: http://wrap.warwick.ac.uk/id/eprint/17793

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