317 citations · 622 across the 6 of their papers we have counts for
3 papers · 1 filter
Bayesian sparse reconstruction: a brute-force approach to astronomical imaging and machine learning
Edward Higson, Will Handley, Michael Hobson +1
We present a principled Bayesian framework for signal reconstruction, in which the signal is modelled by basis functions whose number (and form, if required) is determined by the d…
Towards a framework for testing general relativity with extreme-mass-ratio-inspiral observations
Alvin J. K. Chua, Sonke Hee, Will J. Handley +5
Extreme-mass-ratio-inspiral observations from future space-based gravitational-wave detectors such as LISA will enable strong-field tests of general relativity with unprecedented p…
nestcheck: diagnostic tests for nested sampling calculations
Edward Higson, Will Handley, Mike Hobson +1
Nested sampling is an increasingly popular technique for Bayesian computation, in particular for multimodal, degenerate problems of moderate to high dimensionality. Without appropr…