Reliable Computing 9(6), pp. 407-418.
ISSN/ISBN: 1385-3139 DOI: 10.1023/A:1025888503247
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:
@Article{,
author="Berleant, Daniel and Cheong, Mei-Peng and Chu, Chris and Guan, Yong and Kamal, Ahmed and Shedbl{\'e}, Gerald and Ferson, Scott and Peters, James F.",
title="Dependable Handling of Uncertainty",
journal="Reliable Computing",
year="2003",
month="Dec",
day="01",
volume="9",
number="6",
pages="407--418",
issn="1573-1340",
doi="10.1023/A:1025888503247",
url="https://doi.org/10.1023/A:1025888503247"
}
Reference Type: Journal Article
Subject Area(s): Computer Science, Statistics