4 citations · 4 across the 2 of their papers we have counts for
2 papers
math.OC2014
Reducing the Bias in Blocked Particle Filtering for High-Dimensional Systems
Francesco Bertoli, Adrian N. Bishop
Particle filtering is a powerful approximation method that applies to state estimation in nonlinear and non-Gaussian dynamical state-space models. Unfortunately, the approximation…
math.OC2014★ 4 cited
Adaptively Blocked Particle Filtering with Spatial Smoothing in Large-Scale Dynamic Random Fields
Francesco Bertoli, Adrian N. Bishop
The typical particle filtering approximation error is exponentially dependent on the dimension of the model. Therefore, to control this error, an enormous number of particles are r…