Proceedings of the 2012 National Conference on Information Technology and Computer Science

Bayesian Methods with Application in Risk Analysis

Authors
Dongyang Ding, Xiyang Liu
Corresponding Author
Dongyang Ding
Available Online November 2012.
DOI
https://doi.org/10.2991/citcs.2012.21How to use a DOI?
Keywords
risk; uncertainty; Bayesian; robust
Abstract
In risk analysis, Bayesian methods are more adaptability and flexibility than traditional methods when be used to construct decision framework, estimate risk distribution and parameterize model, but has shortcomings at the same time. Robust methods make up some limitations of Bayesian methods, the analysis of uncertainty indicate that robust Bayesian methods can produce more reliable inference in the absence of comprehensive statistical information.
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Proceedings
2012 National Conference on Information Technology and Computer Science
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2012
ISBN
978-94-91216-39-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/citcs.2012.21How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Dongyang Ding
AU  - Xiyang Liu
PY  - 2012/11
DA  - 2012/11
TI  - Bayesian Methods with Application in Risk Analysis
BT  - 2012 National Conference on Information Technology and Computer Science
PB  - Atlantis Press
SP  - 80
EP  - 83
SN  - 1951-6851
UR  - https://doi.org/10.2991/citcs.2012.21
DO  - https://doi.org/10.2991/citcs.2012.21
ID  - Ding2012/11
ER  -