Bayesian Astrophysics

doi:10.1017/9781316182406

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.

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Bayesian Astrophysics

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Contents

Frontmatter
pp i-vi

Contents
pp vii-vii

Contributors
pp viii-viii

Participants
pp ix-xii

Preface
pp xiii-xiv

1 - Bayesian Inference and Computation: A Beginner’s Guide
pp 1-30

2 - Inverse Problems in Astronomy
pp 31-61

3 - Bayesian Inference in Extrasolar Planet Searches
pp 62-118

4 - Bayesian Cosmology
pp 119-157

5 - An Introduction to Objective Bayesian Statistics
pp 158-194

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Bayesian Astrophysics

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