The geometrical convergence of the Gibbs sampler for simulating a probability distribution in R d is proved. The distribution has a density which is a bounded perturbation of a log-concave function and satisfies some growth conditions. The analysis is based on a representation of the Gibbs sampler a
✦ LIBER ✦
Slow Convergence of the Gibbs Sampler
✍ Scribed by Claude Bélisle
- Book ID
- 111850897
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- French
- Weight
- 628 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0319-5724
- DOI
- 10.2307/3315722
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