Published by Oxford University Press, 2000
ISBN 10: 0198773137 ISBN 13: 9780198773139
Language: English
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Published by Oxford University Press, Incorporated, 2000
ISBN 10: 0198773137 ISBN 13: 9780198773139
Language: English
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Published by Oxford University Press, 2000
ISBN 10: 0198773137 ISBN 13: 9780198773139
Language: English
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Paperback. Condition: Good. This book is in good condition; no remainder marks. It does have some cover shelfwear, edge wear, corner wear. Inside pages have no writing. ; Advanced Texts In Econometrics; 23.4 X 15.6 X 1.94 centimeters; 366 pages.
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Add to basketPaperback. Condition: Very Good. Bayesian Inference in Dynamic Econometric Models (Advanced Texts in Econometrics) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
Published by OUP Oxford 06/01/2000, 2000
ISBN 10: 0198773137 ISBN 13: 9780198773139
Language: English
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Published by Oxford University Press, 2000
ISBN 10: 0198773137 ISBN 13: 9780198773139
Language: English
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paperback. Condition: Very Good. Signed by Marc Nerlove. The pages are clean and unmarked. The cover has some bumping and wear to the corners.
Published by Oxford University Press, 2000
ISBN 10: 0198773137 ISBN 13: 9780198773139
Language: English
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Published by Oxford University Press, 2000
ISBN 10: 0198773137 ISBN 13: 9780198773139
Language: English
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Published by Oxford University Press, 2000
ISBN 10: 0198773137 ISBN 13: 9780198773139
Language: English
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Published by Oxford University Press, 2000
ISBN 10: 0198773137 ISBN 13: 9780198773139
Language: English
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Published by Oxford University Press, 2000
ISBN 10: 0198773137 ISBN 13: 9780198773139
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Published by Oxford University Press, 2000
ISBN 10: 0198773137 ISBN 13: 9780198773139
Language: English
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Published by Oxford University Press OUP, 2000
ISBN 10: 0198773137 ISBN 13: 9780198773139
Language: English
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Published by Oxford University Press, 2000
ISBN 10: 0198773137 ISBN 13: 9780198773139
Language: English
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Published by Oxford University Press, Oxford, 2000
ISBN 10: 0198773137 ISBN 13: 9780198773139
Language: English
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Add to basketPaperback. Condition: new. Paperback. This book contains an up-to-date coverage of the last twenty years advances in Bayesian inference in econometrics, with an emphasis on dynamic models. It shows how to treat Bayesian inference in non linear models, by integrating the useful developments of numerical integration techniques based on simulations (such as Markov Chain Monte Carlo methods), and the long available analytical results of Bayesian inference for linear regression models. It thus covers abroad range of rather recent models for economic time series, such as non linear models, autoregressive conditional heteroskedastic regressions, and cointegrated vector autoregressive models. It containsalso an extensive chapter on unit root inference from the Bayesian viewpoint. Several examples illustrate the methods. This work contains an up-to-date coverage of the last 20 years' advances in Bayesian inference in econometrics, with an emphasis on dynamic models. Several examples illustrate the methods. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Oxford University Press, Oxford, 2000
ISBN 10: 0198773137 ISBN 13: 9780198773139
Language: English
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Add to basketPaperback. Condition: new. Paperback. This book contains an up-to-date coverage of the last twenty years advances in Bayesian inference in econometrics, with an emphasis on dynamic models. It shows how to treat Bayesian inference in non linear models, by integrating the useful developments of numerical integration techniques based on simulations (such as Markov Chain Monte Carlo methods), and the long available analytical results of Bayesian inference for linear regression models. It thus covers abroad range of rather recent models for economic time series, such as non linear models, autoregressive conditional heteroskedastic regressions, and cointegrated vector autoregressive models. It containsalso an extensive chapter on unit root inference from the Bayesian viewpoint. Several examples illustrate the methods. This work contains an up-to-date coverage of the last 20 years' advances in Bayesian inference in econometrics, with an emphasis on dynamic models. Several examples illustrate the methods. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Add to basketCondition: New. This work contains an up-to-date coverage of the last 20 years advances in Bayesian inference in econometrics, with an emphasis on dynamic models. Several examples illustrate the methods.Über den AutorLuc Bauwens is currently P.
Published by Oxford University Press, 2000
ISBN 10: 0198773137 ISBN 13: 9780198773139
Language: English
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Published by Oxford University Press, 2000
ISBN 10: 0198773129 ISBN 13: 9780198773122
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Published by Oxford University Press, 2000
ISBN 10: 0198773129 ISBN 13: 9780198773122
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Published by Oxford University Press, 2000
ISBN 10: 0198773129 ISBN 13: 9780198773122
Language: English
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Published by Oxford University Press, 2000
ISBN 10: 0198773129 ISBN 13: 9780198773122
Language: English
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Published by Oxford University Press, 2000
ISBN 10: 0198773129 ISBN 13: 9780198773122
Language: English
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Published by Oxford University Press, Oxford, 2000
ISBN 10: 0198773129 ISBN 13: 9780198773122
Language: English
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Add to basketHardcover. Condition: new. Hardcover. This book contains an up-to-date coverage of the last twenty years advances in Bayesian inference in econometrics, with an emphasis on dynamic models. It shows how to treat Bayesian inference in non linear models, by integrating the useful developments of numerical integration techniques based on simulations (such as Markov Chain Monte Carlo methods), and the long available analytical results of Bayesian inference for linear regression models. It thus covers abroad range of rather recent models for economic time series, such as non linear models, autoregressive conditional heteroskedastic regressions, and cointegrated vector autoregressive models. It containsalso an extensive chapter on unit root inference from the Bayesian viewpoint. Several examples illustrate the methods. This book covers the principles and tools of Bayesian inference in econometrics. Bayesian inference is a branch of statistics that integrates explicitly both data and prior information in model building, estimation and evaluation. The book shows how to use Bayesian methods in models suited to the analysis of macroeconomic and financial time series Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Oxford University Press, Oxford, 2000
ISBN 10: 0198773129 ISBN 13: 9780198773122
Language: English
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Add to basketHardcover. Condition: new. Hardcover. This book contains an up-to-date coverage of the last twenty years advances in Bayesian inference in econometrics, with an emphasis on dynamic models. It shows how to treat Bayesian inference in non linear models, by integrating the useful developments of numerical integration techniques based on simulations (such as Markov Chain Monte Carlo methods), and the long available analytical results of Bayesian inference for linear regression models. It thus covers abroad range of rather recent models for economic time series, such as non linear models, autoregressive conditional heteroskedastic regressions, and cointegrated vector autoregressive models. It containsalso an extensive chapter on unit root inference from the Bayesian viewpoint. Several examples illustrate the methods. This book covers the principles and tools of Bayesian inference in econometrics. Bayesian inference is a branch of statistics that integrates explicitly both data and prior information in model building, estimation and evaluation. The book shows how to use Bayesian methods in models suited to the analysis of macroeconomic and financial time series Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Oxford University Press, Oxford, 2000
ISBN 10: 0198773137 ISBN 13: 9780198773139
Language: English
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Paperback. Condition: new. Paperback. This book contains an up-to-date coverage of the last twenty years advances in Bayesian inference in econometrics, with an emphasis on dynamic models. It shows how to treat Bayesian inference in non linear models, by integrating the useful developments of numerical integration techniques based on simulations (such as Markov Chain Monte Carlo methods), and the long available analytical results of Bayesian inference for linear regression models. It thus covers abroad range of rather recent models for economic time series, such as non linear models, autoregressive conditional heteroskedastic regressions, and cointegrated vector autoregressive models. It containsalso an extensive chapter on unit root inference from the Bayesian viewpoint. Several examples illustrate the methods. This work contains an up-to-date coverage of the last 20 years' advances in Bayesian inference in econometrics, with an emphasis on dynamic models. Several examples illustrate the methods. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Oxford University Press, 2000
ISBN 10: 0198773137 ISBN 13: 9780198773139
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 566.
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book offers an up-to-date coverage of the basic principles and tools of Bayesian inference in econometrics, with an emphasis on dynamic models. It shows how to treat Bayesian inference in non linear models, by integrating the useful developments of numerical integration techniques based on simulations, and the long available analytical results of Bayesian inference for linear regression models. About the SeriesAdvanced Texts in Econometrics is a distinguished and rapidly expanding series in which leading econometricians assess recent developments in such areas as stochastic probability, panel and time series data analysis, modeling, and cointegration. In both hardback and affordable paperback, each volume explains the nature and applicability of a topic in greater depth than possible in introductory textbooks or single journal articles. Each definitive work is formatted to be as accessible and convenient for those who are not familiar with the detailed primary literature.