On strong forms of weak convergence
UNSPECIFIED (1997) On strong forms of weak convergence. STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 67 (1). pp. 41-53. ISSN 0304-4149Full text not available from this repository.
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|
|Date:||28 April 1997|
|Number of Pages:||13|
|Page Range:||pp. 41-53|
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