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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Product Details
Weight: 1100g
Dimensions: 193 x 253mm
Publication Date: 27 Apr 2017
Publisher: Cambridge University Press
Publication City/Country: United Kingdom
Language: English
ISBN13: 9781107133082
About Emille E. O. IshidaJoseph M. HilbeRafael S. de Souza
Joseph M. Hilbe is Solar System Ambassador with NASA's Jet Propulsion Laboratory California Institute of Technology Adjunct Professor of Statistics at Arizona State University and Professor Emeritus at the University of Hawaii. He is currently President of the International Astrostatistics Association (IAA) and was awarded the IAA's 2016 Outstanding Contributions to Astrostatistics medal the association's top award. Hilbe is an elected Fellow of both the American Statistical Association and the IAA and is a full member of the American Astronomical Society. He has authored nineteen books on statistical modeling including leading texts on modeling count and binomial data. His book Modeling Count Data (Cambridge 2014) received the 2015 PROSE honorable mention for books in mathematics. Rafael S. de Souza is a researcher at Eötvos Loránd University Budapest. He is currently Vice-President for development of the International Astrostatistics Association (IAA) and was awarded the IAA's 2016 Outstanding Publication in Astrostatistics award. He has authored dozens of scientific papers serving as the leading author for over twenty of them. Emille E. O. Ishida is a researcher at the Université Clermont-Auvergne (Université Blaise Pascal) France. She is cochair of the Cosmostatistics Initiative and coordinator of its Python-related projects. She is a specialist in machine learning applications to astronomy with special interests in type Ia supernovae spectral characterization classification and cosmology. She has been the lead author of numerous articles in prominent astrophysics journals and currently serves as chair of the IAA public relations committee.