A review of uncertainty propagation methods within continuity equation and Gaussian mixture model frameworks
Year: 2024
Type: article
Abstract: This paper reviews the research progress for uncertainty propagation within continuity equation and Gaussian mixture model frameworks. First, a state-of-the-art study on the uncertainty propagation methods within the continuity equation framework is given in terms of the continuity equation, interpolation method and the binning method. Second, a review of development of the uncertainty propagation methods within the Gaussian mixture model framework is given in terms of the Gaussian mixture model, and the hybrid methods within the Gaussian mixture model framework. Third, a comparison is given for the mathematical nature, accuracy and efficiency between the two method frameworks. Finally, the main features and advantages are concluded for the two method frameworks for uncertainty propagation, and the future research work is envisaged.
Institution: Nanjing University of Aeronautics and Astronautics
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4405168023