A Recursive Formulation of Possibilistic Filters

ISIPTA 2021 pp. 180-190

/isipta/2021/hose2021isipta-recursive/

Abstract

We derive a recursive formulation of possibilistic filters that allow inference on the states in non-linear time-discrete dynamical systems in the presence of both aleatory and epistemic uncertainty with an imprecise probabilistic interpretation, and we present a particle-based implementation thereof.

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Text

Hose and Hanss. "A Recursive Formulation of Possibilistic Filters." Proceedings of the Twelveth International Symposium on Imprecise Probability: Theories and Applications, 2021.

Markdown

[Hose and Hanss. "A Recursive Formulation of Possibilistic Filters." Proceedings of the Twelveth International Symposium on Imprecise Probability: Theories and Applications, 2021.](https://mlanthology.org/isipta/2021/hose2021isipta-recursive/)

BibTeX

@inproceedings{hose2021isipta-recursive,
  title     = {{A Recursive Formulation of Possibilistic Filters}},
  author    = {Hose, Dominik and Hanss, Michael},
  booktitle = {Proceedings of the Twelveth International Symposium on Imprecise Probability: Theories and Applications},
  year      = {2021},
  pages     = {180-190},
  volume    = {147},
  url       = {https://mlanthology.org/isipta/2021/hose2021isipta-recursive/}
}