Seismic risk analysis using Bayesian belief networks - Seismic Risk Analysis and Management of Civil Infrastructure Systems - page 202

Lantada, N., Pujades, L.G. and Barbat, A.H. 2009. Vulnerability index and capacity
spectrum based methods for urban seismic risk evaluation, a comparison. Natural
Hazards , 51 (1), 501-524.
Li, L., Wang, J., Leung, H. and Jiang, C. 2010. Assessment of catastrophic risk using
Bayesian network constructed from domain knowledge and spatial data. Risk
Analysis , 30 (7), 1157-1174.
Liyanapathirana, D.S. and Poulos, H.G. 2002. A numerical model for dynamic
soil liquefaction analysis. Soil Dynamics and Earthquake Engineering , 22 (9-12),
1007-1015.
Marulanda, M.-C., Cardona, O.D. and Barbat, A.H. 2009. Robustness of the holistic
seismic risk evaluation in urban centers using the USRi. Natural Hazards , 49 (3),
501-516.
McCue, K. 2010. Assessing earthquake hazard and risk in Australia. Australian
Planner , 47 (1), 52-53.
Miura, F., Stewart, H.E. and O'Rourke, T.D. 1991. The effects of liquefaction-induced
lateral spreading on pile foundations. Soil Dynamics and Earthquake Engineering ,
10 (5), 271-279.
Mollamahmutoglu, M., Kayabali, K., Beyaz, T. and Kolay, E. 2003. Liquefaction-
related building damage in Adapazari during the Turkey earthquake of August
17, 1999. Engineering Geology , 67 (3-4), 297-307.
Nishijima, K., Maes, M.A., Goyet, J. and Faber, M.H. 2009. Constrained optimization
of component reliabilities in complex systems. Structural Safety , 31 , 168-178.
Norsys Software Corp. 2006. Netica TM Application. <http://www.norsys.com>,
downloaded, July 20.
Pearl, J. 1988. Probabilistic Reasoning in Intelligent Systems: Networks of
Plausible Inference . San Francisco, California: Morgan Kaufmann Publishers,
Inc.
Ploeger, S.K., Atkinson, G.M. and Samson, C. 2010. Applying the HAZUS-MH
software tool to assess seismic risk in downtown Ottawa, Canada. Natural Hazards ,
53 (1), 1-20.
Prasad, A.M., Iversion, L.R. and Liaw, A. 2006. Newer classifi cation and regression
tree techniques: bagging and random forest for ecological prediction. Ecosystems ,
9 (2), 181-199.
Rish, I. 2001. An empirical study of the naive bayes classifi er. In: Proceedings of
International Joint Conference on Artifi cial Intelligence , pp, 1-6.
Roberts, N.J., Nadim, F. and Kalsnes, B. 2009. Quantifi cation of vulnerability to
natural hazards. Georisk: Assessment and Management of Risk for Engineered
Systems and Geohazards , 3 (3), 164-173.
Rodriguez, J.J., Kuncheva, L.I. and Alonso, C.J. 2006. Rotation forest: a new classifi er
ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelli-
gence , 28 (10), 1619-1630.
Ross, T.J. 2004. Fuzzy Logic With Engineering Applications 2nd edn. UK: John Wiley
& Sons.
Saatcioglu, M. and Humar, J. 2003. Dynamic analysis of buildings for earthquake-
resistant design. Canadian Journal of Civil Engineering , 30 , 338-359.
Schubert, M. and Faber, M.H. 2011. Common cause effects in portfolio loss
estimation. Structure and Infrastructure Engineering , DOI: 10.1080/15732479.
2010.539068.