Marisa Cristina March's Advanced Statistical Methods for Astrophysical Probes of PDF

By Marisa Cristina March

This thesis explores complicated Bayesian statistical equipment for extracting key details for cosmological version choice, parameter inference and forecasting from astrophysical observations.

Bayesian version choice offers a degree of the way reliable versions in a suite are relative to one another - yet what if the simplest version is lacking and never incorporated within the set? Bayesian Doubt is an procedure which addresses this challenge and seeks to bring an absolute instead of a relative degree of ways solid a version is.

Supernovae sort Ia have been the 1st astrophysical observations to point the overdue time acceleration of the Universe - this paintings provides an in depth Bayesian Hierarchical version to deduce the cosmological parameters (in specific darkish strength) from observations of those supernovae sort Ia.

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Advanced Statistical Methods for Astrophysical Probes of Cosmology (Springer Theses) by Marisa Cristina March


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