Published by Oxford University Press, 2013
ISBN 10: 0199681333 ISBN 13: 9780199681334
Language: English
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Add to basketSoft cover. Condition: Good +. See photos. Edgewear, light creasing to front cover. Contents unmarked, binding tight.
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Published by Oxford University Press, 2013
ISBN 10: 0199681333 ISBN 13: 9780199681334
Language: English
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Published by Oxford University Press, 2013
ISBN 10: 0199681333 ISBN 13: 9780199681334
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Published by Oxford University Press, Oxford, 2013
ISBN 10: 0199681333 ISBN 13: 9780199681334
Language: English
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Paperback. Condition: new. Paperback. Bayesian econometric methods have enjoyed an increase in popularity in recent years. Econometricians, empirical economists, and policymakers are increasingly making use of Bayesian methods. This handbook is a single source for researchers and policymakers wanting to learn about Bayesian methods in specialized fields, and for graduate students seeking to make the final step from textbook learning to the research frontier. It contains contributions by leadingBayesians on the latest developments in their specific fields of expertise. The volume provides broad coverage of the application of Bayesian econometrics in the major fields of economics and relateddisciplines, including macroeconomics, microeconomics, finance, and marketing. It reviews the state of the art in Bayesian econometric methodology, with chapters on posterior simulation and Markov chain Monte Carlo methods, Bayesian nonparametric techniques, and the specialized tools used by Bayesian time series econometricians such as state space models and particle filtering. It also includes chapters on Bayesian principles and methodology. A broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Oxford University Press, 2013
ISBN 10: 0199681333 ISBN 13: 9780199681334
Language: English
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Published by Oxford University Press, GB, 2013
ISBN 10: 0199681333 ISBN 13: 9780199681334
Language: English
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Add to basketPaperback. Condition: New. Illustrated. Bayesian econometric methods have enjoyed an increase in popularity in recent years. Econometricians, empirical economists, and policymakers are increasingly making use of Bayesian methods. This handbook is a single source for researchers and policymakers wanting to learn about Bayesian methods in specialized fields, and for graduate students seeking to make the final step from textbook learning to the research frontier. It contains contributions by leading Bayesians on the latest developments in their specific fields of expertise. The volume provides broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing. It reviews the state of the art in Bayesian econometric methodology, with chapters on posterior simulation and Markov chain Monte Carlo methods, Bayesian nonparametric techniques, and the specialized tools used by Bayesian time series econometricians such as state space models and particle filtering. It also includes chapters on Bayesian principles and methodology.
Published by Oxford University Press, 2013
ISBN 10: 0199681333 ISBN 13: 9780199681334
Language: English
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Published by Oxford University Press, 2013
ISBN 10: 0199681333 ISBN 13: 9780199681334
Language: English
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Published by Oxford University Press, 2013
ISBN 10: 0199681333 ISBN 13: 9780199681334
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Add to basketKartoniert / Broschiert. Condition: New. A broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing.Über den AutorJohn Geweke received his PhD i.
Published by Oxford University Press OUP, 2013
ISBN 10: 0199681333 ISBN 13: 9780199681334
Language: English
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Published by Oxford University Press, GB, 2013
ISBN 10: 0199681333 ISBN 13: 9780199681334
Language: English
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Add to basketPaperback. Condition: New. Illustrated. Bayesian econometric methods have enjoyed an increase in popularity in recent years. Econometricians, empirical economists, and policymakers are increasingly making use of Bayesian methods. This handbook is a single source for researchers and policymakers wanting to learn about Bayesian methods in specialized fields, and for graduate students seeking to make the final step from textbook learning to the research frontier. It contains contributions by leading Bayesians on the latest developments in their specific fields of expertise. The volume provides broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing. It reviews the state of the art in Bayesian econometric methodology, with chapters on posterior simulation and Markov chain Monte Carlo methods, Bayesian nonparametric techniques, and the specialized tools used by Bayesian time series econometricians such as state space models and particle filtering. It also includes chapters on Bayesian principles and methodology.
Published by Oxford University Press, Oxford, 2013
ISBN 10: 0199681333 ISBN 13: 9780199681334
Language: English
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Add to basketPaperback. Condition: new. Paperback. Bayesian econometric methods have enjoyed an increase in popularity in recent years. Econometricians, empirical economists, and policymakers are increasingly making use of Bayesian methods. This handbook is a single source for researchers and policymakers wanting to learn about Bayesian methods in specialized fields, and for graduate students seeking to make the final step from textbook learning to the research frontier. It contains contributions by leadingBayesians on the latest developments in their specific fields of expertise. The volume provides broad coverage of the application of Bayesian econometrics in the major fields of economics and relateddisciplines, including macroeconomics, microeconomics, finance, and marketing. It reviews the state of the art in Bayesian econometric methodology, with chapters on posterior simulation and Markov chain Monte Carlo methods, Bayesian nonparametric techniques, and the specialized tools used by Bayesian time series econometricians such as state space models and particle filtering. It also includes chapters on Bayesian principles and methodology. A broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Oxford University Press, 2013
ISBN 10: 0199681333 ISBN 13: 9780199681334
Language: English
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Published by Oxford University Press, 2011
ISBN 10: 0199559082 ISBN 13: 9780199559084
Language: English
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Published by Oxford University Press, 2011
ISBN 10: 0199559082 ISBN 13: 9780199559084
Language: English
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Published by Oxford University Press, 2013
ISBN 10: 0199681333 ISBN 13: 9780199681334
Language: English
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Published by Oxford University Press, Oxford, 2011
ISBN 10: 0199559082 ISBN 13: 9780199559084
Language: English
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Hardcover. Condition: new. Hardcover. Bayesian econometric methods have enjoyed an increase in popularity in recent years. Econometricians, empirical economists, and policymakers are increasingly making use of Bayesian methods. This handbook is a single source for researchers and policymakers wanting to learn about Bayesian methods in specialized fields, and for graduate students seeking to make the final step from textbook learning to the research frontier. It contains contributions by leadingBayesians on the latest developments in their specific fields of expertise. The volume provides broad coverage of the application of Bayesian econometrics in the major fields of economics and relateddisciplines, including macroeconomics, microeconomics, finance, and marketing. It reviews the state of the art in Bayesian econometric methodology, with chapters on posterior simulation and Markov chain Monte Carlo methods, Bayesian nonparametric techniques, and the specialized tools used by Bayesian time series econometricians such as state space models and particle filtering. It also includes chapters on Bayesian principles and methodology. A broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Oxford University Press, 2011
ISBN 10: 0199559082 ISBN 13: 9780199559084
Language: English
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Published by Oxford University Press, 2011
ISBN 10: 0199559082 ISBN 13: 9780199559084
Language: English
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Published by Oxford University Press, 2011
ISBN 10: 0199559082 ISBN 13: 9780199559084
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Published by Oxford University Press, GB, 2011
ISBN 10: 0199559082 ISBN 13: 9780199559084
Language: English
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Add to basketHardback. Condition: New. Bayesian econometric methods have enjoyed an increase in popularity in recent years. Econometricians, empirical economists, and policymakers are increasingly making use of Bayesian methods. This handbook is a single source for researchers and policymakers wanting to learn about Bayesian methods in specialized fields, and for graduate students seeking to make the final step from textbook learning to the research frontier. It contains contributions by leading Bayesians on the latest developments in their specific fields of expertise. The volume provides broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing. It reviews the state of the art in Bayesian econometric methodology, with chapters on posterior simulation and Markov chain Monte Carlo methods, Bayesian nonparametric techniques, and the specialized tools used by Bayesian time series econometricians such as state space models and particle filtering. It also includes chapters on Bayesian principles and methodology.
Published by Oxford University Press, Oxford, 2011
ISBN 10: 0199559082 ISBN 13: 9780199559084
Language: English
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Add to basketHardcover. Condition: new. Hardcover. Bayesian econometric methods have enjoyed an increase in popularity in recent years. Econometricians, empirical economists, and policymakers are increasingly making use of Bayesian methods. This handbook is a single source for researchers and policymakers wanting to learn about Bayesian methods in specialized fields, and for graduate students seeking to make the final step from textbook learning to the research frontier. It contains contributions by leadingBayesians on the latest developments in their specific fields of expertise. The volume provides broad coverage of the application of Bayesian econometrics in the major fields of economics and relateddisciplines, including macroeconomics, microeconomics, finance, and marketing. It reviews the state of the art in Bayesian econometric methodology, with chapters on posterior simulation and Markov chain Monte Carlo methods, Bayesian nonparametric techniques, and the specialized tools used by Bayesian time series econometricians such as state space models and particle filtering. It also includes chapters on Bayesian principles and methodology. A broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Oxford University Press (UK) Dez 2011, 2011
ISBN 10: 0199559082 ISBN 13: 9780199559084
Language: English
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Add to basketBuch. Condition: Neu. Neuware - A broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing.
Published by Oxford University Press, 2011
ISBN 10: 0199559082 ISBN 13: 9780199559084
Language: English
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Published by Oxford University Press, GB, 2011
ISBN 10: 0199559082 ISBN 13: 9780199559084
Language: English
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Add to basketHardback. Condition: New. Bayesian econometric methods have enjoyed an increase in popularity in recent years. Econometricians, empirical economists, and policymakers are increasingly making use of Bayesian methods. This handbook is a single source for researchers and policymakers wanting to learn about Bayesian methods in specialized fields, and for graduate students seeking to make the final step from textbook learning to the research frontier. It contains contributions by leading Bayesians on the latest developments in their specific fields of expertise. The volume provides broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing. It reviews the state of the art in Bayesian econometric methodology, with chapters on posterior simulation and Markov chain Monte Carlo methods, Bayesian nonparametric techniques, and the specialized tools used by Bayesian time series econometricians such as state space models and particle filtering. It also includes chapters on Bayesian principles and methodology.
Published by OXFORD HIGHER EDUCATION, 2011
ISBN 10: 0199559082 ISBN 13: 9780199559084
Language: English
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by Oxford University Press, Usa, 2013
ISBN 10: 0199681333 ISBN 13: 9780199681334
Language: English
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Add to basketCondition: new. Questo è un articolo print on demand.
Published by Oxford University Press, 2013
ISBN 10: 0199681333 ISBN 13: 9780199681334
Language: English
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 1030.