An Iteratively Reweighted Importance Kernel Bayesian Filtering Approach for High-Dimensional Data Processing
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DOI: 10.3390/math12192962
Abstract: This paper proposes an iteratively re-weighted importance kernel Bayes filter (IRe-KBF) method for handling high-dimensional or complex data in Bayesian filtering problems. This innovative approach incorporates importance weights and an iterative re-weighting scheme inspired by… read more here.
Keywords: bayesian filtering; importance kernel; approach; high dimensional ... See more keywords