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Statistics & Probability Letters
Article . 2012 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 2012
Data sources: zbMATH Open
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A martingale transformation for superprocesses

Authors: He, Hui; Luan, Nana;

A martingale transformation for superprocesses

Abstract

This note deals with a new martingale transformation for superprocesses with general branching mechanisms (including discontinuous processes and processes with non-local branchings). It consists of three sections. In the first one, the authors start by defining superprocesses and the branching mechanism. Then, they present the main result which is a Girsanov-type theorem for these superprocesses, followed by a criterion for global extinction. In Section 2, they give an example, and they finish with Section 3 which is devoted to the proofs, based on a lemma by [\textit{Z. Li}, Measure-valued branching Markov processes. Berlin: Springer (2011; Zbl 1235.60003)].

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Keywords

superprocess, Branching processes (Galton-Watson, birth-and-death, etc.), extinction probability, Superprocesses, Martingales with continuous parameter, Girsanov transformation, martingale transformation, Random measures, general branching mechanism

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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!
1
Average
Average
Average
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