Marginal likelihood calculation for the Gelfand–Dey and Chib methods
AbstractA trade-off exists between the Gelfand and Dey (1994) and Chib (1995) methods to calculate the marginal likelihood in Bayesian estimation. Using the Markov Chain Monte Carlo method, we demonstrate that the performance of the two methods is fairly close.
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Bibliographic InfoArticle provided by Elsevier in its journal Economics Letters.
Volume (Year): 115 (2012)
Issue (Month): 2 ()
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Web page: http://www.elsevier.com/locate/ecolet
Model comparison; Structural break; Heterogeneous autoregressive model; Bayesian estimation;
Find related papers by JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
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