pular para conteúdo
Introduction to Bayesian econometrics Ver prévia deste item
FecharVer prévia deste item
Checando...

Introduction to Bayesian econometrics

Autor: Edward Greenberg
Editora: Cambridge ; New York : Cambridge University Press, 2008.
Edição/Formato   Livro : InglêsVer todas as edições e formatos
Base de Dados:WorldCat
Resumo:
"This concise textbook is an introduction to econometrics from the Bayesian viewpoint. It begins with an explanation of the basic ideas of subjective probability and shows how subjective probabilities must obey the usual rules of probability to ensure coherency. It then turns to the definitions of the likelihood function, prior distributions, and posterior distributions. It explains how posterior distributions are
Classificação:

baseado em 1 classificação(ões) 0 com críticas - Seja o primeiro.

Assuntos
Mais como este

 

Encontrar uma cópia on-line

Links para este item

Encontrar uma cópia na biblioteca

&AllPage.SpinnerRetrieving; Encontrando bibliotecas que possuem este item...

Detalhes

Tipo de Material: Recurso Internet
Tipo de Documento: Livro, Recurso Internet
Todos os Autores / Contribuintes: Edward Greenberg
ISBN: 9780521858717 0521858712
Número OCLC: 144598187
Descrição: xv, 205 p. : ill. ; 27 cm.
Conteúdos: Basic concepts of probability and inference --
Posterior distributions and inference --
Prior distributions --
Classical simulation --
Basics of Markov chains --
Simulation by MCMC methods --
Linear regression and extensions --
Multivariate responses --
Time series --
Endogenous covariates and sample selection --
Appendix A : Probability distributions and Matrix theorems --
Appendix B : Computer programs for MCMC calculations.
Responsabilidade: Edward Greenberg.
Mais informações:

Resumo:

This book introduces the increasingly popular Bayesian approach to statistics to graduates and advanced undergraduates.  Ler mais...

Críticas

Críticas editoriais

Nielsen BookData

"This book provides an excellent introduction to Bayesian econometrics and statistics with many references to the recent literature that will be very helpful for students and others who have a good Ler mais...

 
Críticas contribuídas por usuários
Recuperando críticas GoodReas...
Recuperando comentários DOGObooks

Etiquetas

Etiquetas de todos os usuários (2)

Ver as etiquetas mais populares como: lista de etiquetas | nuvem de etiquetas

Ítens Similares

Assuntos Relacionados:(6)

Listas de usuários com este item (1)

Confirmar esta solicitação

Você já pode ter solicitado este item. Por favor, selecione Ok se gostaria de proceder com esta solicitação de qualquer forma.

Dados Ligados


<http://www.worldcat.org/oclc/144598187>
library:oclcnum"144598187"
library:placeOfPublication
library:placeOfPublication
library:placeOfPublication
owl:sameAs<info:oclcnum/144598187>
rdf:typeschema:Book
schema:about
<http://id.worldcat.org/fast/829019>
rdf:typeschema:Intangible
schema:name"Bayesian statistical decision theory"@en
schema:name"Bayesian statistical decision theory."@en
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:creator
schema:datePublished"2008"
schema:description"Basic concepts of probability and inference -- Posterior distributions and inference -- Prior distributions -- Classical simulation -- Basics of Markov chains -- Simulation by MCMC methods -- Linear regression and extensions -- Multivariate responses -- Time series -- Endogenous covariates and sample selection -- Appendix A : Probability distributions and Matrix theorems -- Appendix B : Computer programs for MCMC calculations."@en
schema:exampleOfWork<http://worldcat.org/entity/work/id/103294992>
schema:inLanguage"en"
schema:name"Introduction to Bayesian econometrics"@en
schema:numberOfPages"205"
schema:publisher
schema:reviews
rdf:typeschema:Review
schema:itemReviewed<http://www.worldcat.org/oclc/144598187>
schema:reviewBody""This concise textbook is an introduction to econometrics from the Bayesian viewpoint. It begins with an explanation of the basic ideas of subjective probability and shows how subjective probabilities must obey the usual rules of probability to ensure coherency. It then turns to the definitions of the likelihood function, prior distributions, and posterior distributions. It explains how posterior distributions are the basis for inference and explores their basic properties. The Bernoulli distribution is used as a simple example. Various methods of specifying prior distributions are considered, with special emphasis on subject-matter considerations and exchange ability."
schema:url
schema:workExample

Content-negotiable representations

Close Window

Por favor, conecte-se ao WorldCat 

Não tem uma conta? Você pode facilmente criar uma conta gratuita.