Reliable Computing 9(6), 407-418
ISSN / ISBN: 1385-3139
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
Bibtex not available at this time.
Reference Type: Journal Article
Subject Area(s): Computer Science, Statistics