AbstractBasic principles of Bayesian statistics and econometrics are reviewed. The topics covered include point and interval estimation, hypothesis testing, prediction, model building and choice of prior. We also review in very general terms recent advances in computational methods and illustrate the use of these techniques with an application.
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Bibliographic InfoPaper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 12428.
Date of creation: 01 Feb 2006
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Publication status: Published in Palgrave Handbook of Econometrics, February 2006,, pp. 841-870
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Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070
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