Marco E. G. V. Cattaneo
A continuous updating rule for imprecise probabilities
Cattaneo, Marco E. G. V.
Authors
Contributors
A. Laurent
Editor
O. Strauss
Editor
B. Bouchon-Meunier
Editor
R.R. Yager
Editor
Abstract
The paper studies the continuity of rules for updating imprecise probability models when new data are observed. Discontinuities can lead to robustness issues: this is the case for the usual updating rules of the theory of imprecise probabilities. An alternative, continuous updating rule is introduced.
Citation
Cattaneo, M. E. G. V. (2014, July). A continuous updating rule for imprecise probabilities. Presented at 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2014), Montpellier, France
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2014) |
Start Date | Jul 15, 2014 |
End Date | Jul 19, 2014 |
Publication Date | 2014 |
Deposit Date | Jun 29, 2018 |
Journal | Communications in Computer and Information Science |
Print ISSN | 1865-0929 |
Publisher | Springer Verlag |
Peer Reviewed | Peer Reviewed |
Issue | PART 3 |
Pages | 426-435 |
Series Title | Communications in Computer and Information Science (CCIS) |
Series Number | 444 |
Series ISSN | 1865-0929 |
Book Title | Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2014) |
ISBN | 9783319088518 |
DOI | https://doi.org/10.1007/978-3-319-08852-5_44 |
Keywords | Coherent lower and upper previsions; Natural extension; Regular extension; α-cut robustness; Hausdorff distance |
Public URL | https://hull-repository.worktribe.com/output/901299 |
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