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Cluster-based Bayesian approach for noisy and sparse data: application to flow-state estimation
Journal article   Open access   Peer reviewed

Cluster-based Bayesian approach for noisy and sparse data: application to flow-state estimation

Frieder Kaiser, Giovanni Iacobello and David E. Rival
Proceedings of the Royal Society A : Mathematical, Physical and Engineering Sciences, Vol.480(2291), 20230608.
12/06/2024

Abstract

Engineering Fluid Dynamics Bayesian inference clustering state estimation noise and sparse data Artificial Intelligence or Cybernetics Time Series Analysis
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