The marked increase in popularity of Bayesian methods in statistical practice over the last decade owes much to the simultaneous development of Markov chain Monte Carlo (MCMC) methods for the evaluation of requisite posterior distributions. However, along with this increase in computing power has co
Robustness and applicability of Markov chain Monte Carlo algorithms for eigenvalue problems
β Scribed by I.T. Dimov; B. Philippe; A. Karaivanova; C. Weihrauch
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 275 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0307-904X
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