Introduction to Bayesian econometrics:
This book introduces the increasingly popular Bayesian approach to statistics to graduates and advanced undergraduates. In contrast to the long-standing frequentist approach to statistics, the Bayesian approach makes explicit use of prior information and is based on the subjective view of probabilit...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge
Cambridge University Press
2008
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Schlagworte: | |
Online-Zugang: | BSB01 UBG01 UBR01 URL des Erstveröffentlichers |
Zusammenfassung: | This book introduces the increasingly popular Bayesian approach to statistics to graduates and advanced undergraduates. In contrast to the long-standing frequentist approach to statistics, the Bayesian approach makes explicit use of prior information and is based on the subjective view of probability. Bayesian econometrics takes probability theory as applying to all situations in which uncertainty exists, including uncertainty over the values of parameters. A distinguishing feature of this book is its emphasis on classical and Markov chain Monte Carlo (MCMC) methods of simulation. The book is concerned with applications of the theory to important models that are used in economics, political science, biostatistics, and other applied fields. These include the linear regression model and extensions to Tobit, probit, and logit models; time series models; and models involving endogenous variables |
Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
Beschreibung: | 1 online resource (xv, 205 pages) |
ISBN: | 9780511808920 |
DOI: | 10.1017/CBO9780511808920 |
Internformat
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520 | |a This book introduces the increasingly popular Bayesian approach to statistics to graduates and advanced undergraduates. In contrast to the long-standing frequentist approach to statistics, the Bayesian approach makes explicit use of prior information and is based on the subjective view of probability. Bayesian econometrics takes probability theory as applying to all situations in which uncertainty exists, including uncertainty over the values of parameters. A distinguishing feature of this book is its emphasis on classical and Markov chain Monte Carlo (MCMC) methods of simulation. The book is concerned with applications of the theory to important models that are used in economics, political science, biostatistics, and other applied fields. These include the linear regression model and extensions to Tobit, probit, and logit models; time series models; and models involving endogenous variables | ||
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Datensatz im Suchindex
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any_adam_object | |
author | Greenberg, Edward 1936- |
author_facet | Greenberg, Edward 1936- |
author_role | aut |
author_sort | Greenberg, Edward 1936- |
author_variant | e g eg |
building | Verbundindex |
bvnumber | BV043923332 |
classification_rvk | QH 233 |
collection | ZDB-20-CBO |
ctrlnum | (ZDB-20-CBO)CR9780511808920 (OCoLC)967485528 (DE-599)BVBBV043923332 |
dewey-full | 330.01/519542 |
dewey-hundreds | 300 - Social sciences |
dewey-ones | 330 - Economics |
dewey-raw | 330.01/519542 |
dewey-search | 330.01/519542 |
dewey-sort | 3330.01 6519542 |
dewey-tens | 330 - Economics |
discipline | Wirtschaftswissenschaften |
doi_str_mv | 10.1017/CBO9780511808920 |
format | Electronic eBook |
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indexdate | 2024-07-10T07:38:41Z |
institution | BVB |
isbn | 9780511808920 |
language | English |
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publisher | Cambridge University Press |
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spelling | Greenberg, Edward 1936- Verfasser aut Introduction to Bayesian econometrics Edward Greenberg Cambridge Cambridge University Press 2008 1 online resource (xv, 205 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) This book introduces the increasingly popular Bayesian approach to statistics to graduates and advanced undergraduates. In contrast to the long-standing frequentist approach to statistics, the Bayesian approach makes explicit use of prior information and is based on the subjective view of probability. Bayesian econometrics takes probability theory as applying to all situations in which uncertainty exists, including uncertainty over the values of parameters. A distinguishing feature of this book is its emphasis on classical and Markov chain Monte Carlo (MCMC) methods of simulation. The book is concerned with applications of the theory to important models that are used in economics, political science, biostatistics, and other applied fields. These include the linear regression model and extensions to Tobit, probit, and logit models; time series models; and models involving endogenous variables Econometrics Bayesian statistical decision theory Bayes-Verfahren (DE-588)4204326-8 gnd rswk-swf Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd rswk-swf Bayes-Regel (DE-588)4144221-0 gnd rswk-swf Ökonometrie (DE-588)4132280-0 gnd rswk-swf 1\p (DE-588)4123623-3 Lehrbuch gnd-content Bayes-Entscheidungstheorie (DE-588)4144220-9 s Ökonometrie (DE-588)4132280-0 s DE-604 Bayes-Verfahren (DE-588)4204326-8 s 2\p DE-604 Bayes-Regel (DE-588)4144221-0 s 3\p DE-604 Erscheint auch als Druckausgabe 978-0-521-85871-7 https://doi.org/10.1017/CBO9780511808920 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Greenberg, Edward 1936- Introduction to Bayesian econometrics Econometrics Bayesian statistical decision theory Bayes-Verfahren (DE-588)4204326-8 gnd Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd Bayes-Regel (DE-588)4144221-0 gnd Ökonometrie (DE-588)4132280-0 gnd |
subject_GND | (DE-588)4204326-8 (DE-588)4144220-9 (DE-588)4144221-0 (DE-588)4132280-0 (DE-588)4123623-3 |
title | Introduction to Bayesian econometrics |
title_auth | Introduction to Bayesian econometrics |
title_exact_search | Introduction to Bayesian econometrics |
title_full | Introduction to Bayesian econometrics Edward Greenberg |
title_fullStr | Introduction to Bayesian econometrics Edward Greenberg |
title_full_unstemmed | Introduction to Bayesian econometrics Edward Greenberg |
title_short | Introduction to Bayesian econometrics |
title_sort | introduction to bayesian econometrics |
topic | Econometrics Bayesian statistical decision theory Bayes-Verfahren (DE-588)4204326-8 gnd Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd Bayes-Regel (DE-588)4144221-0 gnd Ökonometrie (DE-588)4132280-0 gnd |
topic_facet | Econometrics Bayesian statistical decision theory Bayes-Verfahren Bayes-Entscheidungstheorie Bayes-Regel Ökonometrie Lehrbuch |
url | https://doi.org/10.1017/CBO9780511808920 |
work_keys_str_mv | AT greenbergedward introductiontobayesianeconometrics |