Bayesian astrophysics:
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 pursu...
Gespeichert in:
| Körperschaft: | |
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| Weitere beteiligte Personen: | , |
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2018
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| Schriftenreihe: | Canary Islands Winter School of Astrophysics (Series)
v. 26 |
| Links: | https://doi.org/10.1017/9781316182406 https://doi.org/10.1017/9781316182406 https://doi.org/10.1017/9781316182406 |
| Zusammenfassung: | 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 |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 27 Apr 2018) |
| Umfang: | 1 Online-Ressource (xiii, 194 Seiten) |
| ISBN: | 9781316182406 |
| DOI: | 10.1017/9781316182406 |
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Datensatz im Suchindex
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| author_facet | Asensio Ramos, Andrés Arregui, Iñigo Canary Islands Winter School of Astrophysics < 2014, La Laguna, Canary Islands> |
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| dewey-full | 523.0101/519542 |
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| dewey-ones | 523 - Specific celestial bodies and phenomena |
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| dewey-tens | 520 - Astronomy and allied sciences |
| discipline | Physik |
| doi_str_mv | 10.1017/9781316182406 |
| format | Electronic eBook |
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| id | DE-604.BV045088417 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T18:17:42Z |
| institution | BVB |
| isbn | 9781316182406 |
| language | English |
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| spelling | Canary Islands Winter School of Astrophysics < 2014, La Laguna, Canary Islands> Verfasser aut Bayesian astrophysics edited by Andrés Asensio Ramos, Instituto de Astrofísica de Canarias, Tenerife and Íñigo Arregui, Instituto de Astrofísica de Canarias, Tenerife Cambridge Cambridge University Press 2018 1 Online-Ressource (xiii, 194 Seiten) txt rdacontent c rdamedia cr rdacarrier Canary Islands Winter School of Astrophysics (Series) v. 26 Title from publisher's bibliographic system (viewed on 27 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 Asensio Ramos, Andrés (DE-588)1162560495 edt Arregui, Iñigo (DE-588)1162561637 edt Erscheint auch als Druck-Ausgabe 9781107102132 https://doi.org/10.1017/9781316182406 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Bayesian astrophysics |
| title | Bayesian astrophysics |
| title_auth | Bayesian astrophysics |
| title_exact_search | Bayesian astrophysics |
| title_full | Bayesian astrophysics edited by Andrés Asensio Ramos, Instituto de Astrofísica de Canarias, Tenerife and Íñigo Arregui, Instituto de Astrofísica de Canarias, Tenerife |
| title_fullStr | Bayesian astrophysics edited by Andrés Asensio Ramos, Instituto de Astrofísica de Canarias, Tenerife and Íñigo Arregui, Instituto de Astrofísica de Canarias, Tenerife |
| title_full_unstemmed | Bayesian astrophysics edited by Andrés Asensio Ramos, Instituto de Astrofísica de Canarias, Tenerife and Íñigo Arregui, Instituto de Astrofísica de Canarias, Tenerife |
| title_short | Bayesian astrophysics |
| title_sort | bayesian astrophysics |
| url | https://doi.org/10.1017/9781316182406 |
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