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zbMATH Open
Article
Data sources: zbMATH Open
Theory of Probability and Its Applications
Article . 1994 . Peer-reviewed
Data sources: Crossref
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On the Theory of Large Deviations

On the theory of large deviations
Authors: Pukhal'skij, A. A.;

On the Theory of Large Deviations

Abstract

Summary: The similarity of the ``large deviation principle, (DV1) and (DV2)'' and the ``weak convergence of probability measures'' was used by the author in the earlier paper [in: New trends in probability and statistics. Vol. 1, Proc. 23rd Bakuriani Colloq. in Honour of Yu. V. Prokhorov, Bakuriani/USSR 1990, 198-218 (1991; Zbl 0767.60024)] to study the rough asymptotic behavior of large deviations by the techniques of the theory of weak convergence. A simpler proof is given for one of the main results of the paper quoted above (``if a sequence of measures is exponentially tight, then it is relatively compact in the sense of large deviations''). The problem of large deviations for semimartingales is considered.

Keywords

rate function, Large deviations, Generalizations of martingales, large deviations for semimartingales, weak convergence of probability measures, large deviation principle, Prokhorov's theorem

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Top 10%
Top 10%
Average
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