MapReduce particle filtering with exact resampling and deterministic runtime
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DOI: 10.1186/s13634-017-0505-9
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… read more here.
Keywords: particle filters; filtering exact; particle; particle filtering ... See more keywords