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math.ST2021
Mixture models for spherical data with applications to protein bioinformatics
Kanti V. Mardia, Stuart Barber, Philippa M. Burdett +2
Finite mixture models are fitted to spherical data. Kent distributions are used for the components of the mixture because they allow considerable flexibility. Previous work on such…
math.ST2013
The Rate of Convergence for Approximate Bayesian Computation
Stuart Barber, Jochen Voss, Mark Webster
Approximate Bayesian Computation (ABC) is a popular computational method for likelihood-free Bayesian inference. The term "likelihood-free" refers to problems where the likelihood…