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Hierarchical Spherical Model from a Geometric Point of

โœ Scribed by Domingos H. U. Marchetti; William R. P. Conti; Leonardo F. Guidi


Publisher
Springer
Year
2008
Tongue
English
Weight
775 KB
Volume
132
Category
Article
ISSN
0022-4715

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๐Ÿ“œ SIMILAR VOLUMES


Geometric Ergodicity of Gibbs and Block
โœ James P. Hobert; Charles J. Geyer ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 297 KB

We consider fixed scan Gibbs and block Gibbs samplers for a Bayesian hierarchical random effects model with proper conjugate priors. A drift condition given in Meyn and Tweedie (1993, Chapter 15) is used to show that these Markov chains are geometrically ergodic. Showing that a Gibbs sampler is geom