Bayesian approach to the detection problem in gravitational wave astronomy

Search for gravitational waves from low mass binary coalescences in the first year of LIGO’s S5 data

(2009) B. P. Abbott et al.   PHYSICAL REVIEW D

All-Sky LIGO Search for Periodic Gravitational Waves in the Early Fifth-Science-Run Data

(2009) B. P. Abbott et al.   PHYSICAL REVIEW LETTERS

Parameter estimation of spinning binary inspirals using Markov chain Monte Carlo

(2008) Marc van der Sluys et al.   CLASSICAL AND QUANTUM GRAVITY

Robust Bayesian detection of unmodelled bursts

(2008) Antony C Searle et al.   CLASSICAL AND QUANTUM GRAVITY

Assigning confidence to inspiral gravitational wave candidates with Bayesian model selection

(2008) John Veitch et al.   CLASSICAL AND QUANTUM GRAVITY

A constrained Metropolis–Hastings search for EMRIs in the Mock LISA Data Challenge 1B

(2008) Jonathan R Gair et al.   CLASSICAL AND QUANTUM GRAVITY

Bayes in the sky: Bayesian inference and model selection in cosmology

(2008) Roberto Trotta   CONTEMPORARY PHYSICS

Multimodal nested sampling: an efficient and robust alternative to Markov Chain Monte Carlo methods for astronomical data analyses

(2008) F. Feroz et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Bayesian approach to the follow-up of candidate gravitational wave signals

(2008) J. Veitch et al.   PHYSICAL REVIEW D