Advanced Statistical Methods for Astrophysical Probes of Cosmology
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...
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| Format: | eBook |
| Language: | English |
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Berlin, Heidelberg
Springer Berlin Heidelberg
2013, 2013
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| Edition: | 1st ed. 2013 |
| Series: | Springer Theses, Recognizing Outstanding Ph.D. Research
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| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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