TY  - BOOK
AU  - March,Marisa Cristina
ED  - SpringerLink (Online service)
TI  - Advanced Statistical Methods for Astrophysical Probes of Cosmology
T2  - Springer Theses, Recognizing Outstanding Ph.D. Research,
SN  - 9783642350603
AV  - QB980-991 
U1  - 523.1 23
PY  - 2013///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - Physics
KW  - Observations, Astronomical
KW  - Astronomy
KW  - Observations
KW  - Cosmology
KW  - Statistical physics
KW  - Dynamical systems
KW  - Statistics
KW  - Astronomy, Observations and Techniques
KW  - Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
KW  - Statistical Physics, Dynamical Systems and Complexity
N1  - 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
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-642-35060-3
ER  -