Statistics for Astrophysics: Bayesian Methodology

This book includes the lectures given during the third session of the School of Statistics for Astrophysics that took place at Autrans, near Grenoble, in France, in October 2017. The subject is Bayesian Methodology. The interest of this statistical approach in astrophysics probably comes from its ne...

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Bibliographische Detailangaben
1. Verfasser: Marquette, Jean-Baptiste (VerfasserIn)
Weitere Verfasser: Arbel, Julyan (MitwirkendeR), Dyk, David A. van (MitwirkendeR), Robert, Christian P. (MitwirkendeR), Stenning, David C. (MitwirkendeR)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Les Ulis EDP Sciences [2021]
Schriftenreihe:EDP Sciences Proceedings
Schlagworte:
Online-Zugang:DE-1043
DE-1046
DE-858
DE-859
DE-860
DE-739
URL des Erstveröffentlichers
Zusammenfassung:This book includes the lectures given during the third session of the School of Statistics for Astrophysics that took place at Autrans, near Grenoble, in France, in October 2017. The subject is Bayesian Methodology. The interest of this statistical approach in astrophysics probably comes from its necessity and its success in determining the cosmological parameters from observations, especially from the cosmic background luctuations. The cosmological community has thus been very active in this field for many years. But the Bayesian methodology, complementary to the more classical frequentist one, has many applications in physics in general due to its ability to incorporate a priori knowledge into inference, such as uncertainty brought by the observational processes. The Bayesian approach becomes more and more widespread in the astrophysical literature. This book contains statistics courses on basic to advanced methods with practical exercises using the R environment, by leading experts in their field. This covers the foundations of Bayesian inference, Markov chain Monte Carlo technique, model building, Approximate Bayesian Computation (ABC) and Bayesian nonparametric inference and clustering
Beschreibung:Description based on online resource; title from PDF title page (publisher's Web site, viewed 25. Feb 2021)
Beschreibung:1 online resource (140 pages)
ISBN:9782759822751

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