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Bayesian Models for Astrophysical Data
- Using R, JAGS, Python, and Stan
Engelsk
Bogcover for Bayesian Models for Astrophysical Data af Rafael S. de Souza, Joseph M. Hilbe, Emille E. O. Ishida, 9781107133082
Specifikationer
Sprog:
Engelsk
Sider:
408
ISBN-13:
9781107133082
Indbinding:
Hardback
Udgave:
ISBN-10:
1107133084
Udg. Dato:
27 apr 2017
Længde:
24mm
Bredde:
194mm
Højde:
247mm
Forlag:
Cambridge University Press
Oplagsdato:
27 apr 2017
Hardback
Format:

Om denne bog
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. The book provides code that is largely unavailable elsewhere and includes details on interpreting and evaluating Bayesian models. Initial discussions offer models in synthetic form so that readers can easily adapt them to their own data; later the models are applied to real astronomical data. The consistent focus is on hands-on modeling, analysis of data, and interpretations that address scientific questions. A must-have for astronomers, its concrete approach will also be attractive to researchers in the sciences more generally.

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Specifikationer
Sprog:
Engelsk
Sider:
408
ISBN-13:
9781107133082
Indbinding:
Hardback
Udgave:
ISBN-10:
1107133084
Udg. Dato:
27 apr 2017
Længde:
24mm
Bredde:
194mm
Højde:
247mm
Forlag:
Cambridge University Press
Oplagsdato:
27 apr 2017
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