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 a generic programming model that ma... https://www.pomyslnaszycie.com/