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Bayesian models for astrophysical data: using R, JAGS, Python, and Stan
This comprehensive guide to Bayesian methods in astronomy enables hands-on work by supplying complete R, JAGS, Python, and Stan code, to use directly or to adapt. It begins by examining the normal model from both frequentist and Bayesian perspectives and then progresses to a full range of Bayesian g...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
Cambridge University Press
2017
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1017/CBO9781316459515 http://cds.cern.ch/record/2304804 |