2011
DOI: 10.2139/ssrn.1964923
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Markov Chain Monte Carlo Methods in Corporate Finance

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Cited by 8 publications
(1 citation statement)
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“…4 Firstly, our Bayesian estimation procedure, with the incorporation of the recent development of the MCMC method (Gelfand and Smith, 1990;Korteweg, 2012;Robert and Casella, 1999), is powerful and flexible in dealing with such a complex joint model, where the classical maximum likelihood approach encounters severe computational difficulties (Lopes and Carvalho, 2007). Finally, our approach allows us to 10 perform Bayesian model selection and cross-validation procedures, with considerable gains in computational efficiency over those used in conventional classical estimation approaches.…”
mentioning
confidence: 99%
“…4 Firstly, our Bayesian estimation procedure, with the incorporation of the recent development of the MCMC method (Gelfand and Smith, 1990;Korteweg, 2012;Robert and Casella, 1999), is powerful and flexible in dealing with such a complex joint model, where the classical maximum likelihood approach encounters severe computational difficulties (Lopes and Carvalho, 2007). Finally, our approach allows us to 10 perform Bayesian model selection and cross-validation procedures, with considerable gains in computational efficiency over those used in conventional classical estimation approaches.…”
mentioning
confidence: 99%