Basic 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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|Date of creation:||01 Feb 2006|
|Date of revision:|
|Publication status:||Published in Palgrave Handbook of Econometrics, February 2006,, pp. 841-870|
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