The Oxford Handbook of Bayesian Econometrics
Herausgeber: Geweke, John; Dijk, Herman Van; Koop, Gary
The Oxford Handbook of Bayesian Econometrics
Herausgeber: Geweke, John; Dijk, Herman Van; Koop, Gary
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A broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing.
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A broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Hurst & Co.
- Seitenzahl: 572
- Erscheinungstermin: 1. Dezember 2011
- Englisch
- Abmessung: 254mm x 182mm x 43mm
- Gewicht: 1158g
- ISBN-13: 9780199559084
- ISBN-10: 0199559082
- Artikelnr.: 33719043
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
- Verlag: Hurst & Co.
- Seitenzahl: 572
- Erscheinungstermin: 1. Dezember 2011
- Englisch
- Abmessung: 254mm x 182mm x 43mm
- Gewicht: 1158g
- ISBN-13: 9780199559084
- ISBN-10: 0199559082
- Artikelnr.: 33719043
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
John Geweke received his PhD in economics from the University of Minnesota. He has been Professor of economics/ statistics at the University of Wisconsin, Duke University, the University of Minnesota, and the University of Iowa. He is co-editor of Journal of Econometrics, past co-editor of Journal of Applied Econometrics, and past editor of Journal of Business and Economic Statistics. He has published widely in econometrics and statistics, with major contributions to the analysis of time series and Bayesian econometrics. Professor Geweke is an elected fellow of the Econometric Society and the American Statistical Association and a past President of the International Society for Bayesian Analysis. Gary Koop has published numerous articles in Bayesian econometrics and statistics in journals such as Journal of Econometrics, Journal of the American Statistical Association and the Journal of Business and Economic Statistics. He is an associate editor for several journals, including Journal of Econometrics and Journal of Applied Econometrics. He is the author of Bayesian Econometrics, Bayesian Econometric Methods, Introduction to Econometrics, Analysis of Economic Data, and Analysis of Financial Data. Herman van Dijk received the Savage Prize for his PhD dissertation. His research interests are in Bayesian inference using simulation techniques, time series econometrics, and income distributions. He serves on the Editorial Board of major journals in econometrics. His publications consist of several books and more than 160 international scientific journal papers and reports.
* Introduction
* Part I: Principles
* 1: Gary Chamberlain: Bayesian Aspects of Treatment Choice
* 2: Dale Poirier: Exchangeability, Representation Theorems, and
Subjectivity
* Part II: Methods
* 3: Paolo Giordani, Michael Pitt, and Robert Kohn: Bayesian Inference
for Time Series State Space Models
* 4: Jim Griffin, Fernando Quintana, and Mark Steel: Flexible and
Nonparametric Modelling
* 5: Siddhartha Chib: Introduction to Simulation and MCMC Methods
* Part III: Applications
* 6: Mingliang Li and Justin Tobias: Bayesian Methods in
Microeconometrics
* 7: Marco Del Negro and Frank Schorfheide: Bayesian Macroeconometrics
* 8: Peter Rossi and Greg Allenby: Bayesian Applications in Marketing
* 9: Eric Jacquier and Nicholas Polson: Bayesian Econometrics in
Finance
* Part I: Principles
* 1: Gary Chamberlain: Bayesian Aspects of Treatment Choice
* 2: Dale Poirier: Exchangeability, Representation Theorems, and
Subjectivity
* Part II: Methods
* 3: Paolo Giordani, Michael Pitt, and Robert Kohn: Bayesian Inference
for Time Series State Space Models
* 4: Jim Griffin, Fernando Quintana, and Mark Steel: Flexible and
Nonparametric Modelling
* 5: Siddhartha Chib: Introduction to Simulation and MCMC Methods
* Part III: Applications
* 6: Mingliang Li and Justin Tobias: Bayesian Methods in
Microeconometrics
* 7: Marco Del Negro and Frank Schorfheide: Bayesian Macroeconometrics
* 8: Peter Rossi and Greg Allenby: Bayesian Applications in Marketing
* 9: Eric Jacquier and Nicholas Polson: Bayesian Econometrics in
Finance
* Introduction
* Part I: Principles
* 1: Gary Chamberlain: Bayesian Aspects of Treatment Choice
* 2: Dale Poirier: Exchangeability, Representation Theorems, and
Subjectivity
* Part II: Methods
* 3: Paolo Giordani, Michael Pitt, and Robert Kohn: Bayesian Inference
for Time Series State Space Models
* 4: Jim Griffin, Fernando Quintana, and Mark Steel: Flexible and
Nonparametric Modelling
* 5: Siddhartha Chib: Introduction to Simulation and MCMC Methods
* Part III: Applications
* 6: Mingliang Li and Justin Tobias: Bayesian Methods in
Microeconometrics
* 7: Marco Del Negro and Frank Schorfheide: Bayesian Macroeconometrics
* 8: Peter Rossi and Greg Allenby: Bayesian Applications in Marketing
* 9: Eric Jacquier and Nicholas Polson: Bayesian Econometrics in
Finance
* Part I: Principles
* 1: Gary Chamberlain: Bayesian Aspects of Treatment Choice
* 2: Dale Poirier: Exchangeability, Representation Theorems, and
Subjectivity
* Part II: Methods
* 3: Paolo Giordani, Michael Pitt, and Robert Kohn: Bayesian Inference
for Time Series State Space Models
* 4: Jim Griffin, Fernando Quintana, and Mark Steel: Flexible and
Nonparametric Modelling
* 5: Siddhartha Chib: Introduction to Simulation and MCMC Methods
* Part III: Applications
* 6: Mingliang Li and Justin Tobias: Bayesian Methods in
Microeconometrics
* 7: Marco Del Negro and Frank Schorfheide: Bayesian Macroeconometrics
* 8: Peter Rossi and Greg Allenby: Bayesian Applications in Marketing
* 9: Eric Jacquier and Nicholas Polson: Bayesian Econometrics in
Finance