Bayesian Models for Astrophysical Data: Using R, JAGS, Python, and Stan - Hardcover

Hilbe, Joseph M.; De Souza, Rafael S.; Ishida, Emille E. O.

 
9781107133082: Bayesian Models for Astrophysical Data: Using R, JAGS, Python, and Stan
Hardcover
ISBN 10: 1107133084 ISBN 13: 9781107133082
Verlag: Cambridge University Pr., 2017

Inhaltsangabe

A hands-on guide to Bayesian models with R, JAGS, Python, and Stan code, for a wide range of astronomical data types.

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Über die Autorin bzw. den Autor

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.

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Verlag
Cambridge University Pr.
Erscheinungsdatum
2017
Sprache
Englisch
ISBN 10 
1107133084
ISBN 13 
9781107133082
Einband
Gebundene Ausgabe
Anzahl der Seiten
428
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

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