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Bayesian Models for Astrophysical Data - Using R, JAGS, Python, and Stan (Hardcover)
Loot Price: R2,151
Discovery Miles 21 510
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Bayesian Models for Astrophysical Data - Using R, JAGS, Python, and Stan (Hardcover)
Expected to ship within 12 - 17 working days
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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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