Identification of sensitivities in Bayesian networks

Engineering Applications of Artificial Intelligence

Volumn 17, Issue 4, 2004, Pages 327-335

  Bednarski, Marcin ^a   Cholewa, Wojciech ^a   Frid, Wiktor ^b  

^a SILESIAN UNIVERSITY OF TECHNOLOGY   (Poland)

^b ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

Bayesian network; Belief network; Sensitivity analysis; Sensitivity set

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SOFTWARE; MATHEMATICAL MODELS; NUCLEAR POWER PLANTS; OPTIMIZATION; PARAMETER ESTIMATION; PROBABILITY; ROBUSTNESS (CONTROL SYSTEMS);

BAYESIAN NETWORKS; BELIEF NETWORK; PROBABILISTIC SAFETY STUDIES (PSA); SENSITIVITY SET;

SENSITIVITY ANALYSIS;

EID: 2942744497     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2004.03.011     Document Type: Article

References (5)

1. Bednarski, M., Cholewa, W., Frid, W., 2003. The sensitivity analysis of Bayesian networks. AI-METH 2003, Symposium on Methods of Artificial Intelligence, November 5-7, Gliwice, Poland.
2. Coupe V.M.H., van der Gaag L.C. Properties of sensitivity analysis of Bayesian belief networks. Annals of Mathematics and Artificial Intelligence. 36:2002;323-356.
3. Grindon, E., Ang, M.L., Kulig, M., Slootman, M., Löffler, H., Horvath, G., Bujan, A., Frid, W., Cholewa, W., Khatib-Rahbar, M., 2003. A rapid response source term indicator based on plant status for use in emergency response (STERPS), Proceedings of FISA 2003, November 2003, Luxembourg.
4. Jensen F.V. Bayesian Networks and Decision Graphs. 2001;Springer, New York.
5. NETICA. Bayesian network development software. Norsys Software Corp. www.norsys.com.