Advanced Statistical Methods for Astrophysical Probes of Cosmology

• Main Author: March, Marisa Cristina. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Series: Springer Theses, Recognizing Outstanding Ph.D. Research,
• Subjects: Physics.; Cosmology.; Astronomy, Observations and Techniques.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Statistical Physics, Dynamical Systems and Complexity.
• Online Access: View fulltext via EzAccess

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 wh...

Table of Contents:

• Introduction
• Cosmology background
• Dark energy and apparent late time acceleration
• Supernovae Ia
• Statistical techniques
• Bayesian Doubt: Should we doubt the Cosmological Constant?
• Bayesian parameter inference for SNeIa data
• Robustness to Systematic Error for Future Dark Energy Probes
• Summary and Conclusions
• Index.