Monte-Carlo and Bayesian techniques in gravitational wave burst data analysis

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dc.creatorSearle, Antony C.
dc.date2008-04-07
dc.date.accessioned2026-07-07T09:30:59Z
dc.date.available2026-07-07T09:30:59Z
dc.descriptionMonte-Carlo simulations are used in the gravitational wave burst detection community to demonstrate and compare the properties of different search techniques. We note that every Monte-Carlo simulation has a corresponding optimal search technique according to both the non-Bayesian Neyman-Pearson criterion and the Bayesian approach, and that this optimal search technique is the Bayesian statistic. When practical, we recommend deriving the optimal statistic for a credible Monte-Carlo simulation, rather than testing ad hoc statistics against that simulation.
dc.description9 pages, submitted to GWDAW12 proceedings
dc.identifierhttps://arxiv.org/abs/0804.1161
dc.identifierhttp://arxiv.org/abs/0804.1161
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/158305
dc.subjectGeneral Relativity and Quantum Cosmology
dc.titleMonte-Carlo and Bayesian techniques in gravitational wave burst data analysis
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