Bayesian Methods with Application in Risk Analysis

DOI

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.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dongyang Ding
AU  - Xiyang Liu
PY  - 2012/11
DA  - 2012/11
TI  - Bayesian Methods with Application in Risk Analysis
BT  - Proceedings of the 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  - 10.2991/citcs.2012.21
ID  - Ding2012/11
ER  -