Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1154459 | Statistics & Probability Letters | 2007 | 12 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Yasuhiro Omori,