Journal article icon

Journal article

Applications of Bayesian model averaging to the curvature and size of the Universe

Abstract:

Bayesian model averaging is a procedure to obtain parameter constraints that account for the uncertainty about the correct cosmological model. We use recent cosmological observations and Bayesian model averaging to derive tight limits on the curvature parameter, as well as robust lower bounds on the curvature radius of the Universe and its minimum size, while allowing for the possibility of an evolving dark energy component. Because flat models are favoured by Bayesian model selection, we fin...

Expand abstract
Publication status:
Published

Actions


Access Document


Authors


More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Physics, Astrophysics
Role:
Author
Journal:
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume:
413
Issue:
1
Pages:
L91-L95
Publication date:
2011-05-05
DOI:
ISSN:
0035-8711
URN:
uuid:b0bea85d-0f77-409f-a4d6-3ea8fafc2206
Source identifiers:
164127
Local pid:
pubs:164127

Terms of use


Metrics


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP