Efficient Gibbs Sampler for Bayesian Analysis of a Sample Selection Model
AbstractWe consider Bayesian estimation of a sample selection model and propose a highly efficient Gibbs sampler using the additional scale transformation step to speed up the convergence to the posterior distribution. Numerical examples are given to show the efficiency of our proposed sampler.
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Bibliographic InfoPaper provided by CIRJE, Faculty of Economics, University of Tokyo in its series CIRJE F-Series with number CIRJE-F-481.
Length: 16 pages
Date of creation: Mar 2007
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Other versions of this item:
- Omori, Yasuhiro, 2007. "Efficient Gibbs sampler for Bayesian analysis of a sample selection model," Statistics & Probability Letters, Elsevier, vol. 77(12), pages 1300-1311, July.
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