Advanced Statistical Methods for Astrophysical Probes of Cosmology
This thesis explores advanced Bayesian statistical methods for extracting key information for cosmological model selection, parameter inference and forecasting from astrophysical observations.Bayesian model selection provides a measure of how good models in a set are relative to each other - but wha...
Enregistré dans:
| Auteur principal: | |
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| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2013. |
| Collection: | Springer Theses, Recognizing Outstanding Ph.D. Research
|
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Advanced statistical methods for astrophysical probes of cosmology, doctoral thesis accepted by the Astrophysics Group of Imperial college London, Marisa Cristina March, 2013, Berlin, Springer, 1 vol. (XX-177 p.), Springer theses, 978-3-642-35059-7 • Advanced Statistical Methods for Astrophysical Probes of Cosmology, Texte imprimé, 9783642350610 • Advanced Statistical Methods for Astrophysical Probes of Cosmology, Texte imprimé, 9783642444548 • Advanced statistical methods for astrophysical probes of cosmology, doctoral thesis accepted by the Astrophysics Group of Imperial college London, Marisa Cristina March, 2013, Berlin, Springer, 1 vol. (XX-177 p.), Springer theses, 978-3-642-35059-7 |
| Résumé: | This thesis explores advanced Bayesian statistical methods for extracting key information for cosmological model selection, parameter inference and forecasting from astrophysical observations.Bayesian model selection provides a measure of how good models in a set are relative to each other - but what if the best model is missing and not included in the set? Bayesian Doubt is an approach which addresses this problem and seeks to deliver an absolute rather than a relative measure of how good a model is. Supernovae type Ia were the first astrophysical observations to indicate the late time acceleration of the Universe - this work presents a detailed Bayesian Hierarchical Model to infer the cosmological parameters (in particular dark energy) from observations of these supernovae type Ia |
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| Description: | Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| ISBN: | 9783642350603 |
| ISSN: | 2190-5061 |
| Accès: | Accès en ligne pour les établissements français bénéficiaires des licences nationales Accès soumis à abonnement pour tout autre établissement Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |