Bayesian methods in cosmology:
In recent years cosmologists have advanced from largely qualitative models of the Universe to precision modelling using Bayesian methods, in order to determine the properties of the Universe to high accuracy. This timely book is the only comprehensive introduction to the use of Bayesian methods in c...
Gespeichert in:
| Weitere Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2010
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| Schlagworte: | |
| Online-Zugang: | DE-12 DE-92 URL des Erstveröffentlichers |
| Zusammenfassung: | In recent years cosmologists have advanced from largely qualitative models of the Universe to precision modelling using Bayesian methods, in order to determine the properties of the Universe to high accuracy. This timely book is the only comprehensive introduction to the use of Bayesian methods in cosmological studies, and is an essential reference for graduate students and researchers in cosmology, astrophysics and applied statistics. The first part of the book focuses on methodology, setting the basic foundations and giving a detailed description of techniques. It covers topics including the estimation of parameters, Bayesian model comparison, and separation of signals. The second part explores a diverse range of applications, from the detection of astronomical sources (including through gravitational waves), to cosmic microwave background analysis and the quantification and classification of galaxy properties. Contributions from 24 highly regarded cosmologists and statisticians make this an authoritative guide to the subject |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (xii, 303 pages) |
| ISBN: | 9780511802461 |
| DOI: | 10.1017/CBO9780511802461 |
Internformat
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| 520 | |a In recent years cosmologists have advanced from largely qualitative models of the Universe to precision modelling using Bayesian methods, in order to determine the properties of the Universe to high accuracy. This timely book is the only comprehensive introduction to the use of Bayesian methods in cosmological studies, and is an essential reference for graduate students and researchers in cosmology, astrophysics and applied statistics. The first part of the book focuses on methodology, setting the basic foundations and giving a detailed description of techniques. It covers topics including the estimation of parameters, Bayesian model comparison, and separation of signals. The second part explores a diverse range of applications, from the detection of astronomical sources (including through gravitational waves), to cosmic microwave background analysis and the quantification and classification of galaxy properties. Contributions from 24 highly regarded cosmologists and statisticians make this an authoritative guide to the subject | ||
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Datensatz im Suchindex
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| author2 | Hobson, Michael P. 1967- |
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| bvnumber | BV043944742 |
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| collection | ZDB-20-CBO |
| contents | Foundations and algorithms / John Skilling -- Simple applications of Bayesian methods / D.S. Sivia and S.G. Rawlings -- Parameter estimation using Monte Carlo sampling / Antony Lewis and Sarah Bridle -- Model selection and multi-model inference / Andrew R. Liddle, Pia Mukherjee and David Parkinson -- Bayesian experimental design and model selection forecasting / Roberto Trotta ... [et al.] -- Signal separation in cosmology / M.P. Hobson, M.A.J. Ashdown and V. Stolyarov -- Bayesian source extraction / M.P. Hobson, Graça Rocha and Richard S. Savage -- Flux measurement / Daniel Mortlock -- Gravitational wave astronomy / Neil Cornish -- Bayesian analysis of cosmic microwave background data / Andrew H. Jaffe -- Bayesian multilevel modelling of cosmological populations / Thomas J. Loredo and Martin A. Hendry -- A Bayesian approach to galaxy evolution studies / Stefano Andreon -- Photometric redshift estimation : methods and applications / Ofer Lahav, Filipe B. Abdalla and Manda Banerji |
| ctrlnum | (ZDB-20-CBO)CR9780511802461 (OCoLC)967604296 (DE-599)BVBBV043944742 |
| dewey-full | 523.101/519542 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 523 - Specific celestial bodies and phenomena |
| dewey-raw | 523.101/519542 |
| dewey-search | 523.101/519542 |
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| dewey-tens | 520 - Astronomy and allied sciences |
| discipline | Physik |
| doi_str_mv | 10.1017/CBO9780511802461 |
| format | Electronic eBook |
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| id | DE-604.BV043944742 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-08T00:08:54Z |
| institution | BVB |
| isbn | 9780511802461 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029353713 |
| oclc_num | 967604296 |
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| owner | DE-12 DE-92 |
| owner_facet | DE-12 DE-92 |
| physical | 1 online resource (xii, 303 pages) |
| psigel | ZDB-20-CBO ZDB-20-CBO BSB_PDA_CBO ZDB-20-CBO FHN_PDA_CBO |
| publishDate | 2010 |
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| publisher | Cambridge University Press |
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| spelling | Bayesian methods in cosmology [edited by] Michael P. Hobson [and four others] Cambridge Cambridge University Press 2010 1 online resource (xii, 303 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) Foundations and algorithms / John Skilling -- Simple applications of Bayesian methods / D.S. Sivia and S.G. Rawlings -- Parameter estimation using Monte Carlo sampling / Antony Lewis and Sarah Bridle -- Model selection and multi-model inference / Andrew R. Liddle, Pia Mukherjee and David Parkinson -- Bayesian experimental design and model selection forecasting / Roberto Trotta ... [et al.] -- Signal separation in cosmology / M.P. Hobson, M.A.J. Ashdown and V. Stolyarov -- Bayesian source extraction / M.P. Hobson, Graça Rocha and Richard S. Savage -- Flux measurement / Daniel Mortlock -- Gravitational wave astronomy / Neil Cornish -- Bayesian analysis of cosmic microwave background data / Andrew H. Jaffe -- Bayesian multilevel modelling of cosmological populations / Thomas J. Loredo and Martin A. Hendry -- A Bayesian approach to galaxy evolution studies / Stefano Andreon -- Photometric redshift estimation : methods and applications / Ofer Lahav, Filipe B. Abdalla and Manda Banerji In recent years cosmologists have advanced from largely qualitative models of the Universe to precision modelling using Bayesian methods, in order to determine the properties of the Universe to high accuracy. This timely book is the only comprehensive introduction to the use of Bayesian methods in cosmological studies, and is an essential reference for graduate students and researchers in cosmology, astrophysics and applied statistics. The first part of the book focuses on methodology, setting the basic foundations and giving a detailed description of techniques. It covers topics including the estimation of parameters, Bayesian model comparison, and separation of signals. The second part explores a diverse range of applications, from the detection of astronomical sources (including through gravitational waves), to cosmic microwave background analysis and the quantification and classification of galaxy properties. Contributions from 24 highly regarded cosmologists and statisticians make this an authoritative guide to the subject Cosmology / Statistical methods Bayesian statistical decision theory Kosmologie (DE-588)4114294-9 gnd rswk-swf Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd rswk-swf Kosmologie (DE-588)4114294-9 s Bayes-Entscheidungstheorie (DE-588)4144220-9 s 1\p DE-604 Hobson, Michael P. 1967- (DE-588)141007885 edt Erscheint auch als Druckausgabe 978-0-521-88794-6 Erscheint auch als Druckausgabe 978-1-107-63175-5 https://doi.org/10.1017/CBO9780511802461 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Bayesian methods in cosmology Foundations and algorithms / John Skilling -- Simple applications of Bayesian methods / D.S. Sivia and S.G. Rawlings -- Parameter estimation using Monte Carlo sampling / Antony Lewis and Sarah Bridle -- Model selection and multi-model inference / Andrew R. Liddle, Pia Mukherjee and David Parkinson -- Bayesian experimental design and model selection forecasting / Roberto Trotta ... [et al.] -- Signal separation in cosmology / M.P. Hobson, M.A.J. Ashdown and V. Stolyarov -- Bayesian source extraction / M.P. Hobson, Graça Rocha and Richard S. Savage -- Flux measurement / Daniel Mortlock -- Gravitational wave astronomy / Neil Cornish -- Bayesian analysis of cosmic microwave background data / Andrew H. Jaffe -- Bayesian multilevel modelling of cosmological populations / Thomas J. Loredo and Martin A. Hendry -- A Bayesian approach to galaxy evolution studies / Stefano Andreon -- Photometric redshift estimation : methods and applications / Ofer Lahav, Filipe B. Abdalla and Manda Banerji Cosmology / Statistical methods Bayesian statistical decision theory Kosmologie (DE-588)4114294-9 gnd Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd |
| subject_GND | (DE-588)4114294-9 (DE-588)4144220-9 |
| title | Bayesian methods in cosmology |
| title_auth | Bayesian methods in cosmology |
| title_exact_search | Bayesian methods in cosmology |
| title_full | Bayesian methods in cosmology [edited by] Michael P. Hobson [and four others] |
| title_fullStr | Bayesian methods in cosmology [edited by] Michael P. Hobson [and four others] |
| title_full_unstemmed | Bayesian methods in cosmology [edited by] Michael P. Hobson [and four others] |
| title_short | Bayesian methods in cosmology |
| title_sort | bayesian methods in cosmology |
| topic | Cosmology / Statistical methods Bayesian statistical decision theory Kosmologie (DE-588)4114294-9 gnd Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd |
| topic_facet | Cosmology / Statistical methods Bayesian statistical decision theory Kosmologie Bayes-Entscheidungstheorie |
| url | https://doi.org/10.1017/CBO9780511802461 |
| work_keys_str_mv | AT hobsonmichaelp bayesianmethodsincosmology |