Bayesian Economics Through Numerical Methods: A Guide to Econometrics and Decision-Making with Prior Information
The aim of this book is to provide researchers in economics, finance, and statistics with an up-to-date introduction to applying Bayesian techniques to empirical studies. It covers the full range of the new numerical techniques which have been developed over the last thirty years, notably: Monte Car...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
1997
|
| Ausgabe: | 1st ed. 1997 |
| Schlagworte: | |
| Online-Zugang: | BTU01 URL des Erstveröffentlichers |
| Zusammenfassung: | The aim of this book is to provide researchers in economics, finance, and statistics with an up-to-date introduction to applying Bayesian techniques to empirical studies. It covers the full range of the new numerical techniques which have been developed over the last thirty years, notably: Monte Carlo sampling, antithetic replication, importance sampling, and Gibbs sampling. The author covers both advances in theory and modern approaches to numerical and applied problems. The book includes applications drawn from a variety of different fields within economics and also provides a quick overview to the underlying statistical ideas of Bayesian thought. The result is a book which presents a roadmap of applied economic questions that can now be addressed empirically with Bayesian methods. Consequently, many researchers will find this a readily readable survey of this growing research topic |
| Beschreibung: | 1 Online-Ressource (VIII, 110 p) |
| ISBN: | 9780387226354 |
| DOI: | 10.1007/b97676 |
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| discipline | Wirtschaftswissenschaften |
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| doi_str_mv | 10.1007/b97676 |
| edition | 1st ed. 1997 |
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| spelling | Dorfman, Jeffrey H. Verfasser aut Bayesian Economics Through Numerical Methods A Guide to Econometrics and Decision-Making with Prior Information by Jeffrey H. Dorfman 1st ed. 1997 New York, NY Springer New York 1997 1 Online-Ressource (VIII, 110 p) txt rdacontent c rdamedia cr rdacarrier The aim of this book is to provide researchers in economics, finance, and statistics with an up-to-date introduction to applying Bayesian techniques to empirical studies. It covers the full range of the new numerical techniques which have been developed over the last thirty years, notably: Monte Carlo sampling, antithetic replication, importance sampling, and Gibbs sampling. The author covers both advances in theory and modern approaches to numerical and applied problems. The book includes applications drawn from a variety of different fields within economics and also provides a quick overview to the underlying statistical ideas of Bayesian thought. The result is a book which presents a roadmap of applied economic questions that can now be addressed empirically with Bayesian methods. Consequently, many researchers will find this a readily readable survey of this growing research topic Economic Theory/Quantitative Economics/Mathematical Methods Statistics for Business, Management, Economics, Finance, Insurance Economic theory Statistics Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd rswk-swf Bayes-Verfahren (DE-588)4204326-8 gnd rswk-swf Bayes-Verfahren (DE-588)4204326-8 s DE-604 Bayes-Entscheidungstheorie (DE-588)4144220-9 s Erscheint auch als Druck-Ausgabe 9781475771022 Erscheint auch als Druck-Ausgabe 9780387982335 Erscheint auch als Druck-Ausgabe 9781475771015 https://doi.org/10.1007/b97676 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Dorfman, Jeffrey H. Bayesian Economics Through Numerical Methods A Guide to Econometrics and Decision-Making with Prior Information Economic Theory/Quantitative Economics/Mathematical Methods Statistics for Business, Management, Economics, Finance, Insurance Economic theory Statistics Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd Bayes-Verfahren (DE-588)4204326-8 gnd |
| subject_GND | (DE-588)4144220-9 (DE-588)4204326-8 |
| title | Bayesian Economics Through Numerical Methods A Guide to Econometrics and Decision-Making with Prior Information |
| title_auth | Bayesian Economics Through Numerical Methods A Guide to Econometrics and Decision-Making with Prior Information |
| title_exact_search | Bayesian Economics Through Numerical Methods A Guide to Econometrics and Decision-Making with Prior Information |
| title_exact_search_txtP | Bayesian Economics Through Numerical Methods A Guide to Econometrics and Decision-Making with Prior Information |
| title_full | Bayesian Economics Through Numerical Methods A Guide to Econometrics and Decision-Making with Prior Information by Jeffrey H. Dorfman |
| title_fullStr | Bayesian Economics Through Numerical Methods A Guide to Econometrics and Decision-Making with Prior Information by Jeffrey H. Dorfman |
| title_full_unstemmed | Bayesian Economics Through Numerical Methods A Guide to Econometrics and Decision-Making with Prior Information by Jeffrey H. Dorfman |
| title_short | Bayesian Economics Through Numerical Methods |
| title_sort | bayesian economics through numerical methods a guide to econometrics and decision making with prior information |
| title_sub | A Guide to Econometrics and Decision-Making with Prior Information |
| topic | Economic Theory/Quantitative Economics/Mathematical Methods Statistics for Business, Management, Economics, Finance, Insurance Economic theory Statistics Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd Bayes-Verfahren (DE-588)4204326-8 gnd |
| topic_facet | Economic Theory/Quantitative Economics/Mathematical Methods Statistics for Business, Management, Economics, Finance, Insurance Economic theory Statistics Bayes-Entscheidungstheorie Bayes-Verfahren |
| url | https://doi.org/10.1007/b97676 |
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