|COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring.|
Fast follow-up using accelerated likelihood evaluation
If you have a question about this talk, please contact ma557.
The calculation of posterior parameter distributions using Bayesian techniques requires repeated likelihood evaluations and can therefore be both computationally expensive and time-consuming. We will describe an approach to faster likelihood evaluation based on reduced order quadratures. A reduced spanning basis for the model space is first constructed and then a quadrature rule for that reduced basis is developed. The quadrature rule is typically cheaper to evaluate than the full likelihood, allowing accelerated follow-up. We discuss the application of these techniques to the follow-up of gravitational wave candidates identified by the LIGO interferometers.
This talk is part of the Institute of Astronomy Seminars series.
This talk is included in these lists:
Note that ex-directory lists are not shown.
Other listsCambridge City Seminar at CRASSH Symposium on Computational Biology Explore Islam Week 2014 (EIW)
Other talksSelf-determined sets of sentences Novel Regulation of the Pulmonary Endothelium Computably extendible order types Prevention is Better than Cure: closing lecture by the Vice Chancellor Modelling the cost of cancer: understanding inter-relationships between types of care Why do bacterial pathogens have smaller genomes than their non-pathogenic relatives