Assigning confidence to inspiral gravitational wave candidates with Bayesian model selection
Assigning confidence to inspiral gravitational wave candidates with Bayesian model selection
Bayesian model selection provides a powerful and mathematically transparent framework to tackle hypothesis testing, such as detection tests of gravitational waves emitted during the coalescence of binary systems using ground-based laser interferometers. Although its implementation is computationally intensive, we have developed an efficient probabilistic algorithm based on a technique known …