144 citations · 430 across the 22 of their papers we have counts for
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3 papers · 1 filter
stat.AP2014
A Bayesian Particle Filtering Method For Brain Source Localisation
Xi Chen, Simo Särkkä, Simon Godsill
In this paper, we explore the multiple source localisation problem in the cerebral cortex using magnetoencephalography (MEG) data. We model neural currents as point-wise dipolar so…
stat.CO2014★ 3 cited
Approximations of the Optimal Importance Density using Gaussian Particle Flow Importance Sampling
Pete Bunch, Simon Godsill
Recently developed particle flow algorithms provide an alternative to importance sampling for drawing particles from a posterior distribution, and a number of particle filters base…
stat.CO2014★ 3 cited
The Progressive Proposal Particle Filter: Better Approximations to the Optimal Importance Density
Pete Bunch, Simon Godsill
The crucial step in designing a particle filter for a particular application is the choice of importance density. The optimal scheme is to use the conditional posterior density of…