Advanced Statistical Methods for Astrophysical Probes of Cosmology (Springer Theses) - Tapa blanda

March, Marisa Cristina Cristina

 
9783642444548: Advanced Statistical Methods for Astrophysical Probes of Cosmology (Springer Theses)
Tapa blanda
ISBN 10: 3642444547 ISBN 13: 9783642444548
Editorial: Springer, 2015

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Marisa Cristina March is currently a Postdoctoral Research Fellow at the Univeristy of Sussex, and was formerly a postgraduate cosmology student at Imperial College working with Dr Roberto Trotta, in the field of dark energy science.

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2015
Idioma
Inglés
ISBN 10 
3642444547
ISBN 13 
9783642444548
Encuadernación
Tapa blanda
Número de páginas
200
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Alemania

Otras ediciones populares con el mismo título

9783642350597: Advanced Statistical Methods for Astrophysical Probes of Cosmology: Doctoral Thesis Accepted by the Astrophysics Group of Imperial College London (Springer Theses)

Edición Destacada

ISBN 10:  3642350593 ISBN 13:  9783642350597
Editorial: Springer, 2013
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