컨텐츠로 이동
Introduction to Bayesian econometrics 해당 항목을 미리보기
닫기해당 항목을 미리보기
확인중입니다…

Introduction to Bayesian econometrics

저자: Edward Greenberg
출판사: Cambridge ; New York : Cambridge University Press, 2008.
판/형식:   도서 : 영어모든 판과 형식 보기
데이터베이스:WorldCat
요약:
"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
평가:

기반으로 1 평가 0 리뷰와 함께 - 첫번째로 올려주세요.

주제
다음과 같습니다:

 

온라인으로 문서 찾기

이 항목에 대한 링크

도서관에서 사본 찾기

&AllPage.SpinnerRetrieving; 해당항목을 보유하고 있는 도서관을 찾는 중

상세정보

자료 유형: 인터넷 자료
문서 형식: 책, 인터넷 자원
모든 저자 / 참여자: Edward Greenberg
ISBN: 9780521858717 0521858712
OCLC 번호: 144598187
설명: xv, 205 p. : ill. ; 27 cm.
내용: 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.
책임: Edward Greenberg.
더 많은 정보:

초록:

This book introduces the increasingly popular Bayesian approach to statistics to graduates and advanced undergraduates.  더 읽기…

리뷰

편집자의 리뷰

출판사 줄거리

"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 더 읽기…

 
사용자-기여 리뷰
GoodReads 리뷰 가져오는 중…
DOGObooks 리뷰를 가지고 오는 중…

태그

모든 사용자 태그 (2)

가장 인기있는 태그 보기 태그 리스트 | tag cloud

유사 항목

관련 주제:(6)

이 항목을 가지고 있는 사용자 목록 (1)

요청하신 것을 확인하기

이 항목을 이미 요청하셨을 수도 있습니다. 만약 이 요청을 계속해서 진행하시려면 Ok을 선택하세요.

링크된 데이터


<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

윈도우 닫기

WorldCat에 로그인 하십시오 

계정이 없으세요? 아주 간단한 절차를 통하여 무료 계정을 만드실 수 있습니다.