Advanced Statistical Methods for Astrophysical Probes of Cosmology
By:Marisa Cristina March
Published on 2013-01-13 by Springer Science & Business Media
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.
This Book was ranked at 36 by Google Books for keyword spectrum science exploring matter and energy 5 7 years.
Book ID of Advanced Statistical Methods for Astrophysical Probes of Cosmology's Books is bTFEAAAAQBAJ, Book which was written byMarisa Cristina Marchhave ETAG "KURCEk/w8pM"
Book which was published by Springer Science & Business Media since 2013-01-13 have ISBNs, ISBN 13 Code is 9783642350603 and ISBN 10 Code is 3642350607
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