MapReduce particle filtering with exact resampling and deterministic runtime
Abstract Particle filtering is a numerical Bayesian technique that has great potential for solving sequential estimation problems involving non-linear and non-Gaussian models.Since the estimation accuracy achieved by particle filters improves as the number of particles increases, it is natural to consider as many particles as possible.MapReduce is