TY  - GEN
AU  - Ramos,Andres Asensio
AU  - Arregui,Inigo
TI  - Bayesian astrophysics
T2  - Canary Islands Winter School of Astrophysics
SN  - 9781107102132
U1  - 523.01015 23
PY  - 2018///
CY  - United Kingdom
PB  - CUP
KW  - Astrophysics
KW  - Mathematical Models
KW  - Astronomy
KW  - Cosmology
KW  - Bayesian Statistical Decision Theory
N1  - Includes bibliographical references; Preface -- 1. Bayesian inference and computation: a beginner's guide -- 2. Inverse problems in astronomy -- 3. Bayesian inference in extrasolar planet searches -- 4. Bayesian cosmology -- 5. An Introduction to objective bayesian statistics
N2  - 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
ER  -