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| book details |
Bayesian Astrophysics
Edited by Andrés Asensio Ramos, Edited by Ãñigo Arregui
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| book description |
Bayesian methods are being increasingly employed in many different areas of research in the physical sciences. In astrophysics, models are used to make predictions to be compared to observations. These observations offer information that is incomplete and uncertain, so the comparison has to be pursued by following a probabilistic approach. With contributions from leading experts, this volume covers the foundations of Bayesian inference, a description of computational methods, and recent results from their application to areas such as exoplanet detection and characterisation, image reconstruction, and cosmology. It appeals to both young researchers seeking to learn about Bayesian methods as well as to astronomers wishing to incorporate these approaches in their research areas. It provides the next generation of researchers with the tools of modern data analysis that are already becoming standard in current astrophysical research.
| product details |
Normally shipped |
Publisher | Cambridge University Press (Virtual Publishing)
Published date | 18 Apr 2018
Language |
Format | Digital download and online
Pages | 0
Dimensions | 0 x 0 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-1-1086-1983-7
Readership Age |
BISAC | science / astrophysics & space science
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Mason Coile
Paperback / softback
224 pages
was: R 542.95
now: R 488.95
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A terrifying locked-room mystery set in a remote outpost on Mars.
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An epic love story with the pulse of a thriller that asks: what would you risk for a second chance at first love?
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