Dependable Handling of Uncertainty View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2003-12

AUTHORS

Daniel Berleant, Mei-Peng Cheong, Chris Chu, Yong Guan, Ahmed Kamal, Gerald Shedblé, Scott Ferson, James F. Peters

ABSTRACT

Uncertainty quantification is an important approach to modeling in the presence of limited information about uncertain quantities. As a result recent years have witnessed a burgeoning body of work in this field. The present paper gives some background, highlights some recent work, and presents some problems and challenges.

PAGES

407-418

Identifiers

URI

http://scigraph.springernature.com/pub.10.1023/a:1025888503247

DOI

http://dx.doi.org/10.1023/a:1025888503247

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1011377818


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