[OBRA COMPLETA] Introducción al análisis Bayesiano

[OBRA COMPLETA] Introducción al análisis Bayesiano

An introduction to the Bayesian Analysis is presented and conceptual aspects highlighted. Initially, the probability concept is analyzed from its objective perspective such as frequency, and from its subjective perspective such as degree of belief. It is discussed how, within the context of Bayesian statistics, probability as degree of belief allows to give sense to the probability of a hypothesis and, therefore, enables to resolve problems of scientific interest that could not be otherwise addressed. The likelihood concept is discussed and the Bayes formula, which integrates a priori information and knowledge with information provided by current data demonstrated. Basic concepts of the Decision Theory within the Bayesian perspective are introduced. The SIR (Sampling Importance Resampling) algorithm is presented as a tool to carry out a Bayesian Analysis with numerical techniques. Finally, an application example in fisheries considering Shaefer biomass dynamics model is shown.

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Bibliographic Details
Main Author: Hernandez, D.R.
Format: Book biblioteca
Language:Spanish / Castilian
Published: 2007
Subjects:Statistical analysis, Stock assessment, Fishery resources, Prediction, Statistical models, Probability theory,
Online Access:http://hdl.handle.net/1834/2560
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spelling dig-aquadocs-1834-25602021-05-19T06:23:17Z [OBRA COMPLETA] Introducción al análisis Bayesiano [COMPLETE WORK] Introduction to the Bayesian Analysis Hernandez, D.R. Statistical analysis Stock assessment Fishery resources Prediction Statistical analysis Statistical models Fishery resources Stock assessment Prediction Probability theory An introduction to the Bayesian Analysis is presented and conceptual aspects highlighted. Initially, the probability concept is analyzed from its objective perspective such as frequency, and from its subjective perspective such as degree of belief. It is discussed how, within the context of Bayesian statistics, probability as degree of belief allows to give sense to the probability of a hypothesis and, therefore, enables to resolve problems of scientific interest that could not be otherwise addressed. The likelihood concept is discussed and the Bayes formula, which integrates a priori information and knowledge with information provided by current data demonstrated. Basic concepts of the Decision Theory within the Bayesian perspective are introduced. The SIR (Sampling Importance Resampling) algorithm is presented as a tool to carry out a Bayesian Analysis with numerical techniques. Finally, an application example in fisheries considering Shaefer biomass dynamics model is shown. Se presenta una introducción al Análisis Bayesiano donde se destacan, esencialmente, los aspectos conceptuales. Se analiza inicialmente el concepto de probabilidad desde su perspectiva objetiva tal como frecuencia, y desde su perspectiva subjetiva tal como grado de creencia. Se discute cómo, en el contexto de la estadística Bayesiana, la probabilidad como grado de creencia permite darle sentido a la probabilidad de una hipótesis y por lo tanto habilita a resolver problemas de interés científico que de otra forma serían inabordables. Se discute el concepto de verosimilitud y se demuestra la fórmula de Bayes que integra información y conocimiento a priori con la información proporcionada por los datos actuales. Se introducen conceptos básicos de la Teoría de la Decisión en el contexto Bayesiano. Se presenta el algoritmo SIR (Sampling Importance Resampling) como herramienta para realizar un Análisis Bayesiano con técnicas numéricas. Por último, se muestra un ejemplo de aplicación en pesquerías considerando el modelo de dinámica de biomasa de Schaefer. Publisher: Instituto Nacional de Investigación y Desarrollo Pesquero (INIDEP), Mar del Plata. Published análisis estadístico, modelos estadísticos, recursos pesqueros, evaluación de efectivos, predicción, teoría de probabilidad 2008-07-18T12:49:29Z 2008-07-18T12:49:29Z 2007 Book 978-987-1443-01-7 http://hdl.handle.net/1834/2560 es 45
institution UNESCO
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-aquadocs
tag biblioteca
region Europa del Oeste
libraryname Repositorio AQUADOCS
language Spanish / Castilian
topic Statistical analysis
Stock assessment
Fishery resources
Prediction
Statistical analysis
Statistical models
Fishery resources
Stock assessment
Prediction
Probability theory
Statistical analysis
Stock assessment
Fishery resources
Prediction
Statistical analysis
Statistical models
Fishery resources
Stock assessment
Prediction
Probability theory
spellingShingle Statistical analysis
Stock assessment
Fishery resources
Prediction
Statistical analysis
Statistical models
Fishery resources
Stock assessment
Prediction
Probability theory
Statistical analysis
Stock assessment
Fishery resources
Prediction
Statistical analysis
Statistical models
Fishery resources
Stock assessment
Prediction
Probability theory
Hernandez, D.R.
[OBRA COMPLETA] Introducción al análisis Bayesiano
description An introduction to the Bayesian Analysis is presented and conceptual aspects highlighted. Initially, the probability concept is analyzed from its objective perspective such as frequency, and from its subjective perspective such as degree of belief. It is discussed how, within the context of Bayesian statistics, probability as degree of belief allows to give sense to the probability of a hypothesis and, therefore, enables to resolve problems of scientific interest that could not be otherwise addressed. The likelihood concept is discussed and the Bayes formula, which integrates a priori information and knowledge with information provided by current data demonstrated. Basic concepts of the Decision Theory within the Bayesian perspective are introduced. The SIR (Sampling Importance Resampling) algorithm is presented as a tool to carry out a Bayesian Analysis with numerical techniques. Finally, an application example in fisheries considering Shaefer biomass dynamics model is shown.
format Book
topic_facet Statistical analysis
Stock assessment
Fishery resources
Prediction
Statistical analysis
Statistical models
Fishery resources
Stock assessment
Prediction
Probability theory
author Hernandez, D.R.
author_facet Hernandez, D.R.
author_sort Hernandez, D.R.
title [OBRA COMPLETA] Introducción al análisis Bayesiano
title_short [OBRA COMPLETA] Introducción al análisis Bayesiano
title_full [OBRA COMPLETA] Introducción al análisis Bayesiano
title_fullStr [OBRA COMPLETA] Introducción al análisis Bayesiano
title_full_unstemmed [OBRA COMPLETA] Introducción al análisis Bayesiano
title_sort [obra completa] introducción al análisis bayesiano
publishDate 2007
url http://hdl.handle.net/1834/2560
work_keys_str_mv AT hernandezdr obracompletaintroduccionalanalisisbayesiano
AT hernandezdr completeworkintroductiontothebayesiananalysis
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