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Название: Bayesian Models for Astrophysical Data: Using R, JAGS, Python, and Stan
Год: 2017
Издатель: Cambridge University Press
Язык: english
Кол-во страниц: 365
Формат: PDF
Описание:
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 generalized linear and mixed or hierarchical models, as well as additional types of models such as ABC and INLA.
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Название: Bayesian Models for Astrophysical Data: Using R, JAGS, Python, and Stan
Год: 2017
Издатель: Cambridge University Press
Язык: english
Кол-во страниц: 365
Формат: PDF
Описание:
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 generalized linear and mixed or hierarchical models, as well as additional types of models such as ABC and INLA.
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