Statistics for Astrophysics : : Bayesian Methodology / / Didier Fraix‐Burnet, Julyan Arbel, Stéphane Girard, Jean-Baptiste Marquette.
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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Place / Publishing House: | Les Ulis : : EDP Sciences, , [2018] ©2018 |
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Marquette, Jean-Baptiste, author. aut http://id.loc.gov/vocabulary/relators/aut Statistics for Astrophysics : Bayesian Methodology / Didier Fraix‐Burnet, Julyan Arbel, Stéphane Girard, Jean-Baptiste Marquette. Les Ulis : EDP Sciences, [2018] ©2018 1 online resource (140 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda EDP Sciences Proceedings Frontmatter -- Organisers -- Lecturers -- Acknowledgments -- Table of Contents -- Foreword -- BAYESIAN STATISTICAL METHODS FOR ASTRONOMY PART I: FOUNDATIONS -- BAYESIAN STATISTICAL METHODS FOR ASTRONOMY PART II: MARKOV CHAIN MONTE CARLO -- BAYESIAN STATISTICAL METHODS FOR ASTRONOMY PART III: MODEL BUILDING -- APPROXIMATE BAYESIAN COMPUTATION, AN INTRODUCTION -- CLUSTERING MILKY WAY’S GLOBULAR CLUSTERS: A BAYESIAN NONPARAMETRIC APPROACH restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star 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. Issued also in print. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Dez 2022) Astrophysics. SCIENCE / Physics / Astrophysics. bisacsh Arbel, Julyan, author. aut http://id.loc.gov/vocabulary/relators/aut Arbel, Julyan, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Dyk, David A. van, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Girard, Stéphane, author. aut http://id.loc.gov/vocabulary/relators/aut Robert, Christian P., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Stenning, David C., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Title is part of eBook package: De Gruyter EDP Sciences Contemporary eBook-Package 2016-2020 9783110756401 Title is part of eBook package: De Gruyter EDP Sciences Frontlist eBook Package 2018 9783111023885 print 9782759817290 https://doi.org/10.1051/978-2-7598-2275-1 https://www.degruyter.com/isbn/9782759822751 Cover https://www.degruyter.com/document/cover/isbn/9782759822751/original |
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English |
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author |
Marquette, Jean-Baptiste, Marquette, Jean-Baptiste, Arbel, Julyan, Girard, Stéphane, |
spellingShingle |
Marquette, Jean-Baptiste, Marquette, Jean-Baptiste, Arbel, Julyan, Girard, Stéphane, Statistics for Astrophysics : Bayesian Methodology / EDP Sciences Proceedings Frontmatter -- Organisers -- Lecturers -- Acknowledgments -- Table of Contents -- Foreword -- BAYESIAN STATISTICAL METHODS FOR ASTRONOMY PART I: FOUNDATIONS -- BAYESIAN STATISTICAL METHODS FOR ASTRONOMY PART II: MARKOV CHAIN MONTE CARLO -- BAYESIAN STATISTICAL METHODS FOR ASTRONOMY PART III: MODEL BUILDING -- APPROXIMATE BAYESIAN COMPUTATION, AN INTRODUCTION -- CLUSTERING MILKY WAY’S GLOBULAR CLUSTERS: A BAYESIAN NONPARAMETRIC APPROACH |
author_facet |
Marquette, Jean-Baptiste, Marquette, Jean-Baptiste, Arbel, Julyan, Girard, Stéphane, Arbel, Julyan, Arbel, Julyan, Arbel, Julyan, Arbel, Julyan, Dyk, David A. van, Dyk, David A. van, Girard, Stéphane, Girard, Stéphane, Robert, Christian P., Robert, Christian P., Stenning, David C., Stenning, David C., |
author_variant |
j b m jbm j b m jbm j a ja s g sg |
author_role |
VerfasserIn VerfasserIn VerfasserIn VerfasserIn |
author2 |
Arbel, Julyan, Arbel, Julyan, Arbel, Julyan, Arbel, Julyan, Dyk, David A. van, Dyk, David A. van, Girard, Stéphane, Girard, Stéphane, Robert, Christian P., Robert, Christian P., Stenning, David C., Stenning, David C., |
author2_variant |
j a ja j a ja j a ja d a v d dav davd d a v d dav davd s g sg c p r cp cpr c p r cp cpr d c s dc dcs d c s dc dcs |
author2_role |
VerfasserIn VerfasserIn MitwirkendeR MitwirkendeR MitwirkendeR MitwirkendeR VerfasserIn VerfasserIn MitwirkendeR MitwirkendeR MitwirkendeR MitwirkendeR |
author_sort |
Marquette, Jean-Baptiste, |
title |
Statistics for Astrophysics : Bayesian Methodology / |
title_sub |
Bayesian Methodology / |
title_full |
Statistics for Astrophysics : Bayesian Methodology / Didier Fraix‐Burnet, Julyan Arbel, Stéphane Girard, Jean-Baptiste Marquette. |
title_fullStr |
Statistics for Astrophysics : Bayesian Methodology / Didier Fraix‐Burnet, Julyan Arbel, Stéphane Girard, Jean-Baptiste Marquette. |
title_full_unstemmed |
Statistics for Astrophysics : Bayesian Methodology / Didier Fraix‐Burnet, Julyan Arbel, Stéphane Girard, Jean-Baptiste Marquette. |
title_auth |
Statistics for Astrophysics : Bayesian Methodology / |
title_alt |
Frontmatter -- Organisers -- Lecturers -- Acknowledgments -- Table of Contents -- Foreword -- BAYESIAN STATISTICAL METHODS FOR ASTRONOMY PART I: FOUNDATIONS -- BAYESIAN STATISTICAL METHODS FOR ASTRONOMY PART II: MARKOV CHAIN MONTE CARLO -- BAYESIAN STATISTICAL METHODS FOR ASTRONOMY PART III: MODEL BUILDING -- APPROXIMATE BAYESIAN COMPUTATION, AN INTRODUCTION -- CLUSTERING MILKY WAY’S GLOBULAR CLUSTERS: A BAYESIAN NONPARAMETRIC APPROACH |
title_new |
Statistics for Astrophysics : |
title_sort |
statistics for astrophysics : bayesian methodology / |
series |
EDP Sciences Proceedings |
series2 |
EDP Sciences Proceedings |
publisher |
EDP Sciences, |
publishDate |
2018 |
physical |
1 online resource (140 p.) Issued also in print. |
contents |
Frontmatter -- Organisers -- Lecturers -- Acknowledgments -- Table of Contents -- Foreword -- BAYESIAN STATISTICAL METHODS FOR ASTRONOMY PART I: FOUNDATIONS -- BAYESIAN STATISTICAL METHODS FOR ASTRONOMY PART II: MARKOV CHAIN MONTE CARLO -- BAYESIAN STATISTICAL METHODS FOR ASTRONOMY PART III: MODEL BUILDING -- APPROXIMATE BAYESIAN COMPUTATION, AN INTRODUCTION -- CLUSTERING MILKY WAY’S GLOBULAR CLUSTERS: A BAYESIAN NONPARAMETRIC APPROACH |
isbn |
9782759822751 9783110756401 9783111023885 9782759817290 |
url |
https://doi.org/10.1051/978-2-7598-2275-1 https://www.degruyter.com/isbn/9782759822751 https://www.degruyter.com/document/cover/isbn/9782759822751/original |
illustrated |
Not Illustrated |
doi_str_mv |
10.1051/978-2-7598-2275-1 |
work_keys_str_mv |
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status_str |
n |
ids_txt_mv |
(DE-B1597)573595 |
carrierType_str_mv |
cr |
hierarchy_parent_title |
Title is part of eBook package: De Gruyter EDP Sciences Contemporary eBook-Package 2016-2020 Title is part of eBook package: De Gruyter EDP Sciences Frontlist eBook Package 2018 |
is_hierarchy_title |
Statistics for Astrophysics : Bayesian Methodology / |
container_title |
Title is part of eBook package: De Gruyter EDP Sciences Contemporary eBook-Package 2016-2020 |
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