How Sir Harold Jeffreys would create a belief function based on data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F25%3A00636593" target="_blank" >RIV/67985556:_____/25:00636593 - isvavai.cz</a>
Alternative codes found
RIV/67985807:_____/25:00636593
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
How Sir Harold Jeffreys would create a belief function based on data
Original language description
Not all normalized nonnegative monotone set functions are belief functions. This paper investigates ways to modify them to obtain a belief function that preserves some of their properties. The problem is motivated by an approach to data-based learning of belief function models. The approach is based on the idea that classical methods of mathematical statistics can provide estimates of lower bounds for unknown probabilities. Thus, methods of mathematical statistics can be used to obtain a reasonable rough estimate, which is further elaborated to obtain a desired belief function model.
Czech name
—
Czech description
—

Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 13th Workshop on Uncertainty Processing (WUPES’25)
ISBN
978-80-7378-525-3
ISSN
—
e-ISSN
—
Number of pages
12
Pages from-to
92-103
Publisher name
MatfyzPress
Place of publication
Prague
Event location
Třešť
Event date
Jun 4, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)