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:
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| Weitere beteiligte Personen: | , |
| Format: | Tagungsbericht E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2018
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| Schriftenreihe: | Canary Islands Winter School of Astrophysics
volume XXVI |
| Links: | 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. |
| Umfang: | 1 Online-Ressource (xiii, 194 Seiten) |
| ISBN: | 9781316182406 |
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| 520 | |a 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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| spelling | Canary Islands Winter School of Astrophysics (26th : 2014 : La Laguna, Canary Islands) Bayesian astrophysics edited by Andrés Asensio Ramos, Instituto de Astrofísica de Canarias, Tenerife and Iñigo Arregui, Instituto de Astrofísica de Canarias, Tenerife Cambridge Cambridge University Press 2018 1 Online-Ressource (xiii, 194 Seiten) txt c cr Canary Islands Winter School of Astrophysics volume XXVI 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. Arregui, Íñigo Asensio Ramos, Andrés Erscheint auch als Druck-Ausgabe 9781107102132 Erscheint auch als Druck-Ausgabe 9781107499584 |
| 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 Iñigo Arregui, Instituto de Astrofísica de Canarias, Tenerife |
| title_fullStr | Bayesian astrophysics edited by Andrés Asensio Ramos, Instituto de Astrofísica de Canarias, Tenerife and Iñigo Arregui, Instituto de Astrofísica de Canarias, Tenerife |
| title_full_unstemmed | Bayesian astrophysics edited by Andrés Asensio Ramos, Instituto de Astrofísica de Canarias, Tenerife and Iñigo Arregui, Instituto de Astrofísica de Canarias, Tenerife |
| title_short | Bayesian astrophysics |
| title_sort | bayesian astrophysics |
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