Download Advanced Statistical Methods for Astrophysical Probes of by Marisa Cristina March PDF

By Marisa Cristina March

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

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

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

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