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.
| ISBN: | 9783642444548 |
| Publication date: | 8th February 2015 |
| Author: | Marisa Cristina March |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 180 pages |
| Series: | Springer Theses |
| Genres: |
Cosmology and the universe Cybernetics and systems theory Probability and statistics Astronomical observation: observatories, equipment and methods Mathematical physics |
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.
Advanced Statistical Methods for Astrophysical Probes of Cosmology features in the following genres: Cosmology and the universe, Cybernetics and systems theory, Probability and statistics, Astronomical observation: observatories, equipment and methods, Mathematical physics
Advanced Statistical Methods for Astrophysical Probes of Cosmology is available in Paperback, Hardback
Advanced Statistical Methods for Astrophysical Probes of Cosmology was written by Marisa Cristina March and published by Springer an imprint of Springer Berlin Heidelberg
Advanced Statistical Methods for Astrophysical Probes of Cosmology has 180 pages
Yes it is part of Springer Theses series