Bayesian Inference in Dynamic Econometric Models

Bauwens, Luc

Bayesian Inference in Dynamic Econometric Models / Luc Bauwen - New York : Oxford University Press , 1999. - xv, 350 pages ; 24 cm. - Advanced texts in econometrics. .

Machine derived contents note: Chapter 1: Decision Theory and Bayesian Inference --
Chapter 2: Bayesian Statistics and Linear Regression --
Chapter 3: Methods of Numerical Integration --
Chapter 4: Prior Densities for the Regression Model --
Chapter 5: Dynamic Regression Models --
Chapter 6: Bayesian Unit Roots --
Chapter 7: Heteroskedasticity and ARCH --
Chapter 8: Nonlinear Tome Series Models --
Chapter 9: Systems of Equations --
Appendix A: Probability Distributions --
Appendix B: Generating Random Numbers.

Offering an up-to-date coverage of the basic principles and tools of Bayesian inference in economics, this textbook then shows how to use Bayesian methods in a range of models suited to the analysis of macroeconomic and financial time series

9780198773139

International Book Distributors :Flat No 14, Prakash Apartment 5 Ansari Road Darya Ganj New Delhi


Economics
Econometric models.
Bayesian statistical decision theory.
Statistique bayésienne.
Methode van Bayes.
Econometrische modellen.
Methode van Bayes.
Statistique bayésienne -- Modèles économétriques.

330.0151 BAU

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