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  3. Bayesiansk statistik

Bayesian Models for Astrophysical Data

- Using R, JAGS, Python, and Stan
Af: Rafael S. de Souza, Joseph M. Hilbe, Emille E. O. Ishida Engelsk Hardback

Bayesian Models for Astrophysical Data

- Using R, JAGS, Python, and Stan
Af: Rafael S. de Souza, Joseph M. Hilbe, Emille E. O. Ishida Engelsk Hardback
Tjek vores konkurrenters priser
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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Tjek vores konkurrenters priser
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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Produktdetaljer
Sprog: Engelsk
Sider: 408
ISBN-13: 9781107133082
Indbinding: Hardback
Udgave:
ISBN-10: 1107133084
Kategori: Bayesiansk statistik
Udg. Dato: 27 apr 2017
Længde: 24mm
Bredde: 194mm
Højde: 247mm
Forlag: Cambridge University Press
Oplagsdato: 27 apr 2017
Forfatter(e): Rafael S. de Souza, Joseph M. Hilbe, Emille E. O. Ishida
Forfatter(e) Rafael S. de Souza, Joseph M. Hilbe, Emille E. O. Ishida

Kategori Bayesiansk statistik

ISBN-13 9781107133082

Sprog Engelsk

Indbinding Hardback

Sider 408

Udgave

Længde 24mm

Bredde 194mm

Højde 247mm

Udg. Dato 27 apr 2017

Oplagsdato 27 apr 2017

Forlag Cambridge University Press

Kategori sammenhænge