DeAngelis, Marco, Rocchetta, Roberto, Gray, Ander and Ferson, Scott 
ORCID: 0000-0002-2613-0650
(2021)
Constructing Consonant Predictive Beliefs from Data with Scenario Theory.
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Abstract
A method for constructing consonant predictive beliefs for multivariate datasets is presented. We make use of recent results in scenario theory to construct a family of enclosing sets that are associated with a predictive lower probability of new data falling in each given set. We show that the sequence of lower bounds indexed by enclosing set yields a consonant belief function. The presented method does not rely on the construction of a likelihood function, therefore possibility distributions can be obtained without the need for normalization. We present a practical example in two dimensions for the sake of visualization, to demonstrate the practical procedure of obtaining the sequence of nested sets.
| Item Type: | Conference or Workshop Item (Unspecified) |
|---|---|
| Uncontrolled Keywords: | Predictive beliefs, Consonant random sets, Generalization error, Imprecise probability, Evidence theory |
| Divisions: | Faculty of Science and Engineering > School of Engineering |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 21 Mar 2024 16:23 |
| Last Modified: | 21 Mar 2024 16:23 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3179664 |
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