2013
DOI: 10.1239/aap/1386857858
|View full text |Cite
|
Sign up to set email alerts
|

Extinction Probabilities of Branching Processes with Countably Infinitely Many Types

Abstract: We present two iterative methods for computing the global and partial extinction probability vectors for Galton-Watson processes with countably infinitely many types. The probabilistic interpretation of these methods involves truncated Galton-Watson processes with finite sets of types and modified progeny generating functions. In addition, we discuss the connection of the convergence norm of the mean progeny matrix with extinction criteria.Finally, we give a sufficient condition for a population to become exti… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
40
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 25 publications
(40 citation statements)
references
References 12 publications
0
40
0
Order By: Relevance
“…Indeed, we know from Hautphenne et al (2013) that q (D) converges as D ! +• to the "partial" extinction probability of (X b t ) t2N , which by (S6) is equal to its "global" extinction probability.…”
Section: Numerical Computation Of the Extinction Probabilitymentioning
confidence: 99%
“…Indeed, we know from Hautphenne et al (2013) that q (D) converges as D ! +• to the "partial" extinction probability of (X b t ) t2N , which by (S6) is equal to its "global" extinction probability.…”
Section: Numerical Computation Of the Extinction Probabilitymentioning
confidence: 99%
“…To resolve the problem in the infinite-type setting we should give both a partial and a global extinction criterion. A number of authors have progressed in this direction [8,12,21,22,30,36,37]. In the infinite-type case, the analogue of the Perron-Frobenius eigenvalue is the convergence norm ν(M ) of M defined in (2.4), which gives a partial extinction criterion:q = 1 if and only if ν(M ) ≤ 1, see [37,Theorem 4.1].…”
Section: Introductionmentioning
confidence: 99%
“…The novelty of our result is that we extend the characterization of λ w from BRWs on multigraphs and F -BRWs to a more general class of BRWs. The proof, in this case, requires a completely new and different technique, which heavily relies on multidimensional generating functions and their fixed points (generating function techniques have proven to be excellent tools in the identification of the extinction probabilities of a BRW, see for instance [4,14,15]). Theorem 3.2 provides a characterization for λ w which is in the same spirit of the general one known for λ s .…”
Section: 4mentioning
confidence: 99%