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Cluster Sampling Filters for Non-Gaussian Data Assimilation

By Ahmed Attia and others
This paper presents a fully non-Gaussian version of the Hamiltonian Monte Carlo (HMC) sampling filter. The Gaussian prior assumption in the original HMC filter is relaxed. Specifically, a clustering step is introduced after the forecast phase of the filter, and the prior density function is estimated by fitting a Gaussian... Show more
August 18, 2016
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Cluster Sampling Filters for Non-Gaussian Data Assimilation
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