On the waiting time to escape

Detalhes bibliográficos
Autor(a) principal: Serra, Maria Conceição
Data de Publicação: 2006
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/27934
Resumo: The mathematical model we consider here is a decomposable Galton—Watson process with individuals of two types, 0 and 1. Individuals of type 0 are supercritical and can only produce individuals of type 0, whereas individuals of type 1 are subcritical and can produce individuals of both types. The aim of this paper is to study the properties of the waiting time to escape, i.e. the time it takes to produce a type-0 individual that escapes extinction when the process starts with a type-1 individual. With a view towards applications, we provide examples of populations in biological and medical contexts that can be suitably modeled by such processes.
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spelling On the waiting time to escapeDecomposable Galton-Watson branching processesProbability generating functionsThe mathematical model we consider here is a decomposable Galton—Watson process with individuals of two types, 0 and 1. Individuals of type 0 are supercritical and can only produce individuals of type 0, whereas individuals of type 1 are subcritical and can produce individuals of both types. The aim of this paper is to study the properties of the waiting time to escape, i.e. the time it takes to produce a type-0 individual that escapes extinction when the process starts with a type-1 individual. With a view towards applications, we provide examples of populations in biological and medical contexts that can be suitably modeled by such processes.Applied Probability TrustUniversidade do MinhoSerra, Maria Conceição20062006-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/27934eng0021-9002info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:44:22Zoai:repositorium.sdum.uminho.pt:1822/27934Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:42:02.939900Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv On the waiting time to escape
title On the waiting time to escape
spellingShingle On the waiting time to escape
Serra, Maria Conceição
Decomposable Galton-Watson branching processes
Probability generating functions
title_short On the waiting time to escape
title_full On the waiting time to escape
title_fullStr On the waiting time to escape
title_full_unstemmed On the waiting time to escape
title_sort On the waiting time to escape
author Serra, Maria Conceição
author_facet Serra, Maria Conceição
author_role author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Serra, Maria Conceição
dc.subject.por.fl_str_mv Decomposable Galton-Watson branching processes
Probability generating functions
topic Decomposable Galton-Watson branching processes
Probability generating functions
description The mathematical model we consider here is a decomposable Galton—Watson process with individuals of two types, 0 and 1. Individuals of type 0 are supercritical and can only produce individuals of type 0, whereas individuals of type 1 are subcritical and can produce individuals of both types. The aim of this paper is to study the properties of the waiting time to escape, i.e. the time it takes to produce a type-0 individual that escapes extinction when the process starts with a type-1 individual. With a view towards applications, we provide examples of populations in biological and medical contexts that can be suitably modeled by such processes.
publishDate 2006
dc.date.none.fl_str_mv 2006
2006-01-01T00:00:00Z
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dc.publisher.none.fl_str_mv Applied Probability Trust
publisher.none.fl_str_mv Applied Probability Trust
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