Title Advanced Statistical Methods for Astrophysical Probes of Cosmology Author(s) March, Marisa Cristina Publication Berlin, Heidelberg, Springer Berlin Heidelberg, 2013. Description XX, 180 p : online resource Abstract Note 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 ISBN,Price 9783642350603 Keyword(s) 1. Astronomy, Observations and Techniques 2. Astronomy???Observations 3. COMPLEX SYSTEMS 4. COSMOLOGY 5. DYNAMICAL SYSTEMS 6. EBOOK 7. EBOOK - SPRINGER 8. Observations, Astronomical 9. STATISTICAL PHYSICS 10. Statistical Physics and Dynamical Systems 11. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences 12. Statistics?? Item Type eBook Multi-Media Links Please Click here for eBook Circulation Data Accession#   Call# Status Issued To Return Due On Physical Location I07209     On Shelf