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...
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: | |
Online Access: | View fulltext via EzAccess |
Similar Items
-
Thermodynamics problem solving in physical chemistry : study guide and map /
by: Murphy, Kathleen E., Ph. D.,
Published: (2020) -
Information technology, systems research, and computational physics /
Published: (2020) -
Ibn al Haytham's On the configuration of the world /
by: Alhazen, 965-1039.,
Published: (2017) -
The Essential Guide to the New FRCR : Pt. 1 /
by: Jeswani, Tony,, et al.
Published: (2018) -
Systems engineering : principles and practice /
by: Kossiakoff, Alexander, 1914-2005,, et al.
Published: (2020)