Solving the Levins' paradox in the logistic model to the population growth
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1088/1742-6596/285/1/012023 http://hdl.handle.net/11449/72616 |
Resumo: | We introduce a new method to improve Markov maps by means of a Bayesian approach. The method starts from an initial map model, wherefrom a likelihood function is defined which is regulated by a temperature-like parameter. Then, the new constraints are added by the use of Bayes rule in the prior distribution. We applied the method to the logistic map of population growth of a single species. We show that the population size is limited for all ranges of parameters, allowing thus to overcome difficulties in interpretation of the concept of carrying capacity known as the Levins paradox. © Published under licence by IOP Publishing Ltd. |
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Solving the Levins' paradox in the logistic model to the population growthBayes ruleBayesian approachesLikelihood functionsLogistic mapsLogistic modelsMarkov mapPopulation growthPopulation sizesPrior distributionSingle speciesBayesian networksDynamicsPopulation statisticsWe introduce a new method to improve Markov maps by means of a Bayesian approach. The method starts from an initial map model, wherefrom a likelihood function is defined which is regulated by a temperature-like parameter. Then, the new constraints are added by the use of Bayes rule in the prior distribution. We applied the method to the logistic map of population growth of a single species. We show that the population size is limited for all ranges of parameters, allowing thus to overcome difficulties in interpretation of the concept of carrying capacity known as the Levins paradox. © Published under licence by IOP Publishing Ltd.Instituto de Matemática e Estatística Universidade de São Paulo, R. do Mato 1010, 05508-090 São PauloInstituto Federal de Educação Ciência e Tecnologia de São Paulo, Av. João Olímpio de Oliveira 1561, 18202-000, ItapetiningaInstituto de Física Teórica Universidade Estadual Paulista, R. Dr. Bento Teobaldo Ferraz 271, 01140-070, São PauloInstituto de Física Teórica Universidade Estadual Paulista, R. Dr. Bento Teobaldo Ferraz 271, 01140-070, São PauloUniversidade de São Paulo (USP)Ciência e Tecnologia de São PauloUniversidade Estadual Paulista (Unesp)De Oliveira, Evaldo AraújoDe Barros, Vicente PereiraKraenkel, Roberto André [UNESP]2014-05-27T11:25:58Z2014-05-27T11:25:58Z2011-08-30info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1088/1742-6596/285/1/012023Journal of Physics: Conference Series, v. 285, n. 1, 2011.1742-65881742-6596http://hdl.handle.net/11449/7261610.1088/1742-6596/285/1/0120232-s2.0-80052053532Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Physics: Conference Series0,2410,241info:eu-repo/semantics/openAccess2021-10-23T21:41:38Zoai:repositorio.unesp.br:11449/72616Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T21:41:38Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Solving the Levins' paradox in the logistic model to the population growth |
title |
Solving the Levins' paradox in the logistic model to the population growth |
spellingShingle |
Solving the Levins' paradox in the logistic model to the population growth De Oliveira, Evaldo Araújo Bayes rule Bayesian approaches Likelihood functions Logistic maps Logistic models Markov map Population growth Population sizes Prior distribution Single species Bayesian networks Dynamics Population statistics |
title_short |
Solving the Levins' paradox in the logistic model to the population growth |
title_full |
Solving the Levins' paradox in the logistic model to the population growth |
title_fullStr |
Solving the Levins' paradox in the logistic model to the population growth |
title_full_unstemmed |
Solving the Levins' paradox in the logistic model to the population growth |
title_sort |
Solving the Levins' paradox in the logistic model to the population growth |
author |
De Oliveira, Evaldo Araújo |
author_facet |
De Oliveira, Evaldo Araújo De Barros, Vicente Pereira Kraenkel, Roberto André [UNESP] |
author_role |
author |
author2 |
De Barros, Vicente Pereira Kraenkel, Roberto André [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade de São Paulo (USP) Ciência e Tecnologia de São Paulo Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
De Oliveira, Evaldo Araújo De Barros, Vicente Pereira Kraenkel, Roberto André [UNESP] |
dc.subject.por.fl_str_mv |
Bayes rule Bayesian approaches Likelihood functions Logistic maps Logistic models Markov map Population growth Population sizes Prior distribution Single species Bayesian networks Dynamics Population statistics |
topic |
Bayes rule Bayesian approaches Likelihood functions Logistic maps Logistic models Markov map Population growth Population sizes Prior distribution Single species Bayesian networks Dynamics Population statistics |
description |
We introduce a new method to improve Markov maps by means of a Bayesian approach. The method starts from an initial map model, wherefrom a likelihood function is defined which is regulated by a temperature-like parameter. Then, the new constraints are added by the use of Bayes rule in the prior distribution. We applied the method to the logistic map of population growth of a single species. We show that the population size is limited for all ranges of parameters, allowing thus to overcome difficulties in interpretation of the concept of carrying capacity known as the Levins paradox. © Published under licence by IOP Publishing Ltd. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-08-30 2014-05-27T11:25:58Z 2014-05-27T11:25:58Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1088/1742-6596/285/1/012023 Journal of Physics: Conference Series, v. 285, n. 1, 2011. 1742-6588 1742-6596 http://hdl.handle.net/11449/72616 10.1088/1742-6596/285/1/012023 2-s2.0-80052053532 |
url |
http://dx.doi.org/10.1088/1742-6596/285/1/012023 http://hdl.handle.net/11449/72616 |
identifier_str_mv |
Journal of Physics: Conference Series, v. 285, n. 1, 2011. 1742-6588 1742-6596 10.1088/1742-6596/285/1/012023 2-s2.0-80052053532 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of Physics: Conference Series 0,241 0,241 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1803045972442349568 |