El bayesianismo: de lo casuístico a lo histórico
This document fundamentally presents two aspects related to the Bayesian matter: i) two cases of application of Bayesian epistemology, and, ii) a summarized and intuitive exposition of the formality of Bayesian techniques and its core, Bayes' theorem, culminating with a brief historical review...
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2020
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| Online Access: | https://dialnet.unirioja.es/servlet/oaiart?codigo=7490826 |
| Source: | SAPIENTIAE, ISSN 2183-5063, Vol. 6, Nº. 1, 2020 (Ejemplar dedicado a: JULHO-DEZEMBRO 2020), pags. 124-130 |
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SAPIENTIAE, ISSN 2183-5063, Vol. 6, Nº. 1, 2020 (Ejemplar dedicado a: JULHO-DEZEMBRO 2020), pags. 124-130
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Spanish
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inferencia Bayesiana
teoría de decisión Bayesiana teorema de Bayes verosimilitud epistemologia Bayesiana inferência Bayesiana teoría da decisão Bayesiana teorema de Bayes verosimilitude Bayesian epistemology Bayesian inference Bayesian decision theory Bayes' theorem likelihood Epistemología Bayesiana |
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inferencia Bayesiana
teoría de decisión Bayesiana teorema de Bayes verosimilitud epistemologia Bayesiana inferência Bayesiana teoría da decisão Bayesiana teorema de Bayes verosimilitude Bayesian epistemology Bayesian inference Bayesian decision theory Bayes' theorem likelihood Epistemología Bayesiana Quero Virla, Milton El bayesianismo: de lo casuístico a lo histórico |
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This document fundamentally presents two aspects related to the Bayesian matter: i) two cases of application of Bayesian epistemology, and, ii) a summarized and intuitive exposition of the formality of Bayesian techniques and its core, Bayes' theorem, culminating with a brief historical review and a conception of Bayesian epistemology., Based on documentary analysis and bibliographic review method, a general characterization of a Bayesian analysis context describes two comprehensive cognitive situations of that context, the Bayesian inference and the Bayesian decision theory; In addition, general Bayesian applications are discussed and then two specific cases of application are given: in daily medical practice, and in the "plan-evaluation" of social projects. A short section in a very basic way exposes Bayesian methodological formalities by interpreting Bayes' theorem and the concept of likelihood. Finally, a closing section includes a historical overview and an integrative definition of the main components of Bayesian epistemology. The consolidation of Bayesian epistemology has required the contribution of many authorities in the matter; two of the most influential pioneers mentioned in this document are Aykac and Brumat (1977) and Lindley (1977). In conclusion, Bayesian epistemology is presented as a theory of learning in uncertainty regarding random and uncertain events or states of things, of nature or reality, learning or new knowledge that is expressed in terms of probabilities.
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Article
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| author |
Quero Virla, Milton
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Quero Virla, Milton
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Quero Virla, Milton
|
| title |
El bayesianismo: de lo casuístico a lo histórico
|
| title_short |
El bayesianismo: de lo casuístico a lo histórico
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| title_full |
El bayesianismo: de lo casuístico a lo histórico
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| title_fullStr |
El bayesianismo: de lo casuístico a lo histórico
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| title_full_unstemmed |
El bayesianismo: de lo casuístico a lo histórico
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| title_sort |
el bayesianismo: de lo casuístico a lo histórico
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2020
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https://dialnet.unirioja.es/servlet/oaiart?codigo=7490826
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1709752246210658304
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dialnet-ar-18-ART00014077892020-10-03El bayesianismo: de lo casuístico a lo históricoQuero Virla, Miltoninferencia Bayesianateoría de decisión Bayesianateorema de Bayesverosimilitudepistemologia Bayesianainferência Bayesianateoría da decisão Bayesianateorema de BayesverosimilitudeBayesian epistemologyBayesian inferenceBayesian decision theoryBayes' theoremlikelihoodEpistemología BayesianaThis document fundamentally presents two aspects related to the Bayesian matter: i) two cases of application of Bayesian epistemology, and, ii) a summarized and intuitive exposition of the formality of Bayesian techniques and its core, Bayes' theorem, culminating with a brief historical review and a conception of Bayesian epistemology., Based on documentary analysis and bibliographic review method, a general characterization of a Bayesian analysis context describes two comprehensive cognitive situations of that context, the Bayesian inference and the Bayesian decision theory; In addition, general Bayesian applications are discussed and then two specific cases of application are given: in daily medical practice, and in the "plan-evaluation" of social projects. A short section in a very basic way exposes Bayesian methodological formalities by interpreting Bayes' theorem and the concept of likelihood. Finally, a closing section includes a historical overview and an integrative definition of the main components of Bayesian epistemology. The consolidation of Bayesian epistemology has required the contribution of many authorities in the matter; two of the most influential pioneers mentioned in this document are Aykac and Brumat (1977) and Lindley (1977). In conclusion, Bayesian epistemology is presented as a theory of learning in uncertainty regarding random and uncertain events or states of things, of nature or reality, learning or new knowledge that is expressed in terms of probabilities.Este documento apresenta fundamentalmente dois aspetos relacionados ao assunto Bayesiano: i) dois casos de aplicação da epistemologia Bayesiana, e, ii) uma exposição resumida e intuitiva da formalidade das técnicas Bayesianas e seu núcleo, o teorema de Bayes, terminando com uma breve resenha histórica e uma concepção da epistemologia Bayesiana. Se sustenta na metodologia de revisão documental bibliográfica, uma caracterização geral de um contexto de análises Bayesiano descreve dois situações cognitivas compreensivas de esse contexto, a inferência Bayesiana e a teoria da decisão Bayesiana; ademais, se comentam aplicações Bayesianas gerais e depois se dão dois casos específicos de aplicação: no exercício médico cotidiano, e na “plani-avaliação” de projetos sociais. Uma breve seção expõe de maneira muito básica as formalidades metodológicas Bayesianas interpretando o teorema de Bayes e o conceito de verosimilitude. Finalmente, uma seção de fecho inclui uma resenha histórica e uma definição integradora dos principais componentes da epistemologia Bayesiana. A consolidação da epistemologia Bayesiana tem requerido o aporte de muitas autoridades no assunto; dois dos mais importantes pioneiros mencionados neste documento são Aykac e Brumat (1977) e Lindley (1977). Como conclusão, a epistemologia Bayesiana se presenta como uma teoria de aprendizagem com incerteza respeito a eventos ou estados aleatórios e incertos das coisas, da natureza ou da realidade, aprendizagem ou novo conhecimento que é expressado em términos de probabilidades.Este documento presenta fundamentalmente dos aspectos relacionados al asunto Bayesiano: i) dos casos de aplicación de la epistemología Bayesiana, y, ii) una exposición resumida e intuitiva de la formalidad de las técnicas Bayesianas y su núcleo, el teorema de Bayes, culminando con una breve reseña histórica y una concepción de la epistemología Bayesiana. Apoyándose en la metodología de revisión documental bibliográfica, una caracterización general de un contexto de análisis Bayesiano describe dos situaciones cognitivas comprensivas de ese contexto, la inferencia Bayesiana y la teoría de decisión Bayesiana; además, se comentan aplicaciones Bayesianas generales y luego se dan dos casos específicos de aplicación: en el ejercicio médico cotidiano, y en la “plani-evaluación” de proyectos sociales. Una breve sección expone de manera muy básica las formalidades metodológicas Bayesianas interpretando el teorema de Bayes y el concepto de verosimilitud. Finalmente, una sección de cierre incluye una reseña histórica y una definición integradora de los principales componentes de la epistemología Bayesiana. La consolidación de epistemología Bayesiana ha requerido el aporte de muchas autoridades en el asunto; dos de los más influyentes pioneros mencionados en este documento son Aykac y Brumat (1977) y Lindley (1977). Como conclusión, la epistemología Bayesiana se presenta como una teoría de aprendizaje en incertidumbre respecto a eventos o estados aleatorios e inciertos de las cosas, de la naturaleza o de la realidad, aprendizaje o nuevo conocimiento que es expresado en términos de probabilidades.2020text (article)application/pdfhttps://dialnet.unirioja.es/servlet/oaiart?codigo=7490826(Revista) ISSN 2184-061X(Revista) ISSN 2183-5063SAPIENTIAE, ISSN 2183-5063, Vol. 6, Nº. 1, 2020 (Ejemplar dedicado a: JULHO-DEZEMBRO 2020), pags. 124-130spaLICENCIA DE USO: Los documentos a texto completo incluidos en Dialnet son de acceso libre y propiedad de sus autores y/o editores. Por tanto, cualquier acto de reproducción, distribución, comunicación pública y/o transformación total o parcial requiere el consentimiento expreso y escrito de aquéllos. Cualquier enlace al texto completo de estos documentos deberá hacerse a través de la URL oficial de éstos en Dialnet. 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