Format:
1 Online-Ressource (xiii, 194 Seiten)
,
Illustrationen, Diagramme
ISBN:
9781316182406
Series Statement:
Canary Islands Winter School of Astrophysics volume XXVI
Content:
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
Content:
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
Note:
Literaturangaben, Index
,
Lectures presented at the XXVI Canary Islands Winter School of Astrophysics, held in La Laguna, Tenerife, Spain, Nov. 3-14, 2014
Additional Edition:
ISBN 9781107102132
Additional Edition:
ISBN 9781107499584
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9781107102132
Language:
English
Keywords:
Konferenzschrift
DOI:
10.1017/9781316182406
