Bayesian astrophysics
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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…
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- Full title :Bayesian astrophysics / edited by Andrés Asensio Ramos, Instituto de Astrofísica de Canarias, Tenerife and Iñigo Arregui, Instituto de Astrofísica de Canarias, Tenerife.
Summary
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.
Read More ↓Edition Statements
- Publication Date:2018.
Publication Statements
- Publisher(s):Cambridge University Press
- Place of Publication:Cambridge
- Language:eng
- Publication Date:2018.
The Physical Object
- Description:1 online resource (1 recurso electrónico (xiii, 194 páginas)).
Edition Identifiers
- ISBN:9781316182406, 1316182401
- oclc:on1286758019
- Dewey Decimal:523.0101/519542
Table of Contents
Bayesian inference and computation: a beginner's guide -- Inverse problems in astronomy -- Bayesian inference in extra-solar planet searches -- Bayesian cosmology -- An introduction to objective Bayesian statistics.
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