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Bayesian Astrophysics: Canary Islands Winter School of Astrophysics, cartea 26

Editat de Andrés Asensio Ramos, Íñigo Arregui
en Limba Engleză Hardback – 25 apr 2018
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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Specificații

ISBN-13: 9781107102132
ISBN-10: 1107102138
Pagini: 204
Dimensiuni: 178 x 254 x 14 mm
Greutate: 0.56 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Seria Canary Islands Winter School of Astrophysics

Locul publicării:New York, United States

Cuprins

1. Bayesian inference and computation: a beginner's guide Brendon J. Brewer; 2. Inverse problems in astronomy Jean-Luc Starck; 3. Bayesian inference in extra-solar planet searches Phil Gregory; 4. Bayesian cosmology Roberto Trotta; 5. An introduction to objective Bayesian statistics José M. Bernardo.

Descriere

Provides an overview of the fundamentals of Bayesian inference and its applications within astrophysics, for graduate students and researchers.