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Teoriya Veroyatnostei i ee Primeneniya, 2007, Volume 52, Issue 3, Pages 419–445
DOI: https://doi.org/10.4213/tvp72
(Mi tvp72)
 

This article is cited in 10 scientific papers (total in 10 papers)

Critical Galton–Watson process: The maximum of total progenies within a large window

V. A. Vatutina, V. I. Vakhtel'b, K. Fleischmannc

a Steklov Mathematical Institute, Russian Academy of Sciences
b Technische Universität München
c Weierstrass Institute for Applied Analysis and Stochastics
References:
Abstract: Consider a critical Galton–Watson process $Z=\{Z_n:n=0,1,\dots\}$ of index $1+\alpha$, $\alpha\in(0,1]$. Let $S_k(j)$ denote the sum of the $Z_{n}$ with $n$ in the window $[k,\dots,k+j)$ and let $M_{m}(j)$ be the maximum of the $S_{k}(j)$ with $k$ moving in $[0,m-j]$. We describe the asymptotic behavior of the expectation $\mathbf{E}M_m(j)$ if the window width $j=j_{m}$ is such that $j/m\to\eta\in$ $[0,1]$ as $m\uparrow\infty$. This will be achieved via establishing the asymptotic behavior of the tail of the distribution of the random variable $M_{\infty}(j)$.
Keywords: branching of index one plus alpha, limit theorem, conditional invariance principle, tail asymptotics, moving window, maximal total progeny, lower deviation probabilities.
Received: 16.01.2006
Revised: 02.04.2007
English version:
Theory of Probability and its Applications, 2008, Volume 52, Issue 3, Pages 470–492
DOI: https://doi.org/10.1137/S0040585X97983110
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: V. A. Vatutin, V. I. Vakhtel', K. Fleischmann, “Critical Galton–Watson process: The maximum of total progenies within a large window”, Teor. Veroyatnost. i Primenen., 52:3 (2007), 419–445; Theory Probab. Appl., 52:3 (2008), 470–492
Citation in format AMSBIB
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\pages 419--445
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  • This publication is cited in the following 10 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Теория вероятностей и ее применения Theory of Probability and its Applications
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