| Dewey Class |
523.0101/519542 |
| Title |
Bayesian astrophysics / / edited by Andrés Asensio Ramos, Instituto de Astrofísica de Canarias, Tenerife and Iñigo Arregui, Instituto de Astrofísica de Canarias, Tenerife. |
| ( EBook) |
| Added Personal Name |
Asensio Ramos, Andrés |
| Arregui, Íñigo |
| Publication |
Cambridge : : Cambridge University Press, , 2018. |
| Physical Details |
1 online resource (xiii, 194 pages) : : digital, PDF file(s). |
| ISBN |
9781316182406 (ebook) |
| -- 9781107102132 (hardback) |
| -- 9781107499584 (paperback) |
| Note |
Title from publisher's bibliographic system (viewed on 27 Apr 2018). |
| Summary Note |
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.: |
| Contents note |
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. |
| Mode of acces to digital resource |
Digital reproduction.- |
| Cambridge : |
| Cambridge University Press, |
| 2018 |
| Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format. |
| System details note |
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users). |
| Internet Site |
https://doi.org/10.1017/9781316182406 |
| Links to Related Works |
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