Efficient Gibbs sampler for Bayesian analysis of a sample selection model
We 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.
| Year of publication: |
2007
|
|---|---|
| Authors: | Omori, Yasuhiro |
| Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 77.2007, 12, p. 1300-1311
|
| Publisher: |
Elsevier |
| Keywords: | Bayesian analysis Gibbs sampler Sample selection model Tobit model |
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