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Bayesian theory and applications
The development of hierarchical models and Markov chain Monte Carlo (MCMC) techniques forms one of the most profound advances in Bayesian analysis since the 1970s and provides the basis for advances in virtually all areas of applied and theoretical Bayesian statistics. This volume guides the reader...
| Autores principales: | , , , |
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| Lenguaje: | eng |
| Publicado: |
Oxford Univ Press
2013
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/1538298 |