Bayesian Methods with Application in Risk Analysis
Dongyang Ding, Xiyang Liu
Available Online November 2012.
- https://doi.org/10.2991/citcs.2012.21How to use a DOI?
- risk; uncertainty; Bayesian; robust
- 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.
- 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 -