Published by Cambridge University Press, 2017
ISBN 10: 1107133084 ISBN 13: 9781107133082
Language: English
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Published by Cambridge University Press, 2017
ISBN 10: 1107133084 ISBN 13: 9781107133082
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Cambridge University Press, 2017
ISBN 10: 1107133084 ISBN 13: 9781107133082
Language: English
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Condition: New.
Published by Cambridge University Press, 2017
ISBN 10: 1107133084 ISBN 13: 9781107133082
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Cambridge University Press, 2017
ISBN 10: 1107133084 ISBN 13: 9781107133082
Language: English
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Published by Cambridge University Press, Cambridge, 2017
ISBN 10: 1107133084 ISBN 13: 9781107133082
Language: English
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Hardcover. Condition: new. Hardcover. 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. 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. A must-have for astronomers, its concrete focus on modeling, analysis, and interpretation will also be attractive to researchers in the sciences more broadly. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press, 2017
ISBN 10: 1107133084 ISBN 13: 9781107133082
Language: English
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Published by Cambridge University Press, 2017
ISBN 10: 1107133084 ISBN 13: 9781107133082
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Cambridge University Press, 2017
ISBN 10: 1107133084 ISBN 13: 9781107133082
Language: English
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Published by Cambridge University Press, Cambridge, 2017
ISBN 10: 1107133084 ISBN 13: 9781107133082
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
Hardcover. Condition: new. Hardcover. 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. 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. A must-have for astronomers, its concrete focus on modeling, analysis, and interpretation will also be attractive to researchers in the sciences more broadly. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Hardcover. Condition: Brand New. 424 pages. 10.00x7.75x1.00 inches. In Stock.
Published by Cambridge University Press, 2017
ISBN 10: 1107133084 ISBN 13: 9781107133082
Language: English
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - A hands-on guide to Bayesian models with R, JAGS, Python, and Stan code, for a wide range of astronomical data types.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 424 pages. 10.00x7.75x1.00 inches. In Stock. This item is printed on demand.
Published by Cambridge University Press, Cambridge, 2017
ISBN 10: 1107133084 ISBN 13: 9781107133082
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
Hardcover. Condition: new. Hardcover. 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. 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. A must-have for astronomers, its concrete focus on modeling, analysis, and interpretation will also be attractive to researchers in the sciences more broadly. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Cambridge University Press, 2019
ISBN 10: 1107133084 ISBN 13: 9781107133082
Language: English
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. A must-have for astronomers, its concrete focus on modeling, analysis, and interpretation will.
Published by Cambridge University Press, 2019
ISBN 10: 1107133084 ISBN 13: 9781107133082
Language: English
Seller: preigu, Osnabrück, Germany
Buch. Condition: Neu. Bayesian Models for Astrophysical Data | Joseph M. Hilbe (u. a.) | Buch | Gebunden | Englisch | 2019 | Cambridge University Press | EAN 9781107133082 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.