| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4945339 | International Journal of Approximate Reasoning | 2017 | 17 Pages |
Abstract
If the base measure is considered a prior distribution, then the translation by the observed log-likelihood defines the posterior. An imprecise prior defined by a set of measures is in the same manner translated to a set of posterior measures. Upper and lower previsions can then be computed as extrema over this posterior set.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
MiÄ·elis Bickis,