An extension of chaotic probability models to real-valued variables

"Previous works have presented a frequentist interpretation of sets of measures as probabilistic models which have denominated chaotic models. Those models, however, dealt only with sets of probability measures on finite algebras, that is, probability measures which can be related to variables w...

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Autor principal: Fierens, Pablo Ignacio
Formato: Ponencias en Congresos acceptedVersion
Lenguaje:Inglés
Publicado: 2018
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Acceso en línea:http://ri.itba.edu.ar/handle/123456789/1348
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spelling I32-R138-123456789-13482022-12-07T14:13:53Z An extension of chaotic probability models to real-valued variables Fierens, Pablo Ignacio PROBABILIDAD MODELOS MATEMATICOS SIMULACION "Previous works have presented a frequentist interpretation of sets of measures as probabilistic models which have denominated chaotic models. Those models, however, dealt only with sets of probability measures on finite algebras, that is, probability measures which can be related to variables with a finite number of possible values. In this paper, an extension of chaotic models is proposed in order to deal with the more general case of real-valued variables." 2018-12-04T16:57:40Z 2018-12-04T16:57:40Z 2008-07 Ponencias en Congresos info:eu-repo/semantics/acceptedVersion http://ri.itba.edu.ar/handle/123456789/1348 en info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ijar.2008.09.003 application/pdf
institution Instituto Tecnológico de Buenos Aires (ITBA)
institution_str I-32
repository_str R-138
collection Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA)
language Inglés
topic PROBABILIDAD
MODELOS MATEMATICOS
SIMULACION
spellingShingle PROBABILIDAD
MODELOS MATEMATICOS
SIMULACION
Fierens, Pablo Ignacio
An extension of chaotic probability models to real-valued variables
topic_facet PROBABILIDAD
MODELOS MATEMATICOS
SIMULACION
description "Previous works have presented a frequentist interpretation of sets of measures as probabilistic models which have denominated chaotic models. Those models, however, dealt only with sets of probability measures on finite algebras, that is, probability measures which can be related to variables with a finite number of possible values. In this paper, an extension of chaotic models is proposed in order to deal with the more general case of real-valued variables."
format Ponencias en Congresos
acceptedVersion
author Fierens, Pablo Ignacio
author_facet Fierens, Pablo Ignacio
author_sort Fierens, Pablo Ignacio
title An extension of chaotic probability models to real-valued variables
title_short An extension of chaotic probability models to real-valued variables
title_full An extension of chaotic probability models to real-valued variables
title_fullStr An extension of chaotic probability models to real-valued variables
title_full_unstemmed An extension of chaotic probability models to real-valued variables
title_sort extension of chaotic probability models to real-valued variables
publishDate 2018
url http://ri.itba.edu.ar/handle/123456789/1348
work_keys_str_mv AT fierenspabloignacio anextensionofchaoticprobabilitymodelstorealvaluedvariables
AT fierenspabloignacio extensionofchaoticprobabilitymodelstorealvaluedvariables
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