000			01880nam a22003377a 4500
999			_c54874 _d54874
005			20190828144942.0
008			190828b ||||| |||| 00| 0 eng d
020			_a9780198773139
028			_a:International Book Distributors _b:Flat No 14, Prakash Apartment 5 Ansari Road Darya Ganj New Delhi _c:114276 _d:17/08/2019
082			_a330.0151 BAU
100			_aBauwens, Luc
245			_aBayesian Inference in Dynamic Econometric Models _c/ Luc Bauwen
260			_a New York _b : Oxford University Press _c, 1999.
300			_axv, 350 pages _c ; 24 cm.
365			_b5286
490			_aAdvanced texts in econometrics.
505			_a 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.
520			_aOffering 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
650			_aEconomics
650			_aEconometric models.
650			_aBayesian statistical decision theory.
650			_aStatistique bayésienne.
650			_aMethode van Bayes.
650			_aEconometrische modellen.
650			_aMethode van Bayes.
650			_aStatistique bayésienne -- Modèles économétriques.
700			_aBauwens, Luc
700			_a Richard, Jean-François,
700			_aLubrano, Michele
942			_cBOOK