P. Grossi, P. Kleindorfer, and H. Kunreuther, The impact of Uncertainty in managing seismic 2 risk: the case of earthquake frequency and structural vulnerability

S. Steimen, Uncertainties in earthquake Scenarios

J. J. Bommer, R. Spence, and R. Pinho, Earthquake Loss estimation Models: time to open the 10

J. Rohmer and C. Baudrit, The use of the possibility theory to investigate the epistemic uncertainties within scenario-based earthquake risk assessments, Natural Hazards, vol.1, issue.3, pp.613-632, 2011.
DOI : 10.1007/s11069-010-9578-6

URL : https://hal.archives-ouvertes.fr/hal-00531772

G. Conference, . Melbourne, A. Australia, O. Der-kiureghian, and . Ditlevsen, Aleatory or epistemic? Does it matter?, Structural Safety 18 Quantifying and communicating uncertainty in seismic risk 20 assessment, pp.31-105, 2000.

S. Molina and C. D. Lindholm, Estimating the confidence of earthquake damage scenarios: 25 examples from a logic tree approach Seismic hazard sensitivity analysis: a multi-parameter 28 approach Sensitivity analysis of seismic hazard for 1, Probabilistic Seismic Hazard Assessment, pp.189-212, 1991.

T. Nilsen and T. Aven, Models and model uncertainty in the context of risk analysis, Reliability Engineering & System Safety, vol.79, issue.3
DOI : 10.1016/S0951-8320(02)00239-9

G. I. Tarantola, . M. Sobol-]-i, and . Sobol, Sensitivity estimates for non linear mathematical models, Mathematical 11 Modelling and Computational Experiments Global sensitivity indices for nonlinear mathematical 13 models How to avoid a perfunctory sensitivity analysis, S.S. Kucherenko Review of Wilmott Magazine, vol.1, issue.1, pp.10-407, 1993.

S. Kucherenko, B. Feil, N. Shah, W. Mauntz, A. Saltelli et al., The identification of model effective 17 dimensions using global sensitivity analysis, Modelling and Software based 20 sensitivity analysis of model output. Design and estimator for the total sensitivity index, pp.1508-1517, 2010.

]. M. Jansen, A. Lopez, S. Stein, T. Dixon, G. Sella et al., Analysis of variance designs for model output Is 25 there a northern Lesser Antilles forearc block?, Computer Physics Communications Computer Physics Communications Geophysical Research Letters, vol.18123, issue.07313, pp.259-270, 1999.

V. Habazac, J. Clouard, and . De-chabalier, Empirical model for rapid macroseismic intensities 29 [27] G. Grünthal, European Macroseismic Scale

S. Géodynamique-et-de-séismologie, S. Lagomarsino, and . Giovinazzi, Macroseismic and mechanical models for the 15 vulnerability and damage assessment of current buildings, Bulletin of Earthquake Engineering, vol.16, issue.17, pp.15-29, 1998.

]. G. Trinet-"-shakemaps30, E. Atkinson, M. Sonley, M. Wieland, S. Pittore et al., Rapid generation of instrumental ground motion and intensity maps for 19 earthquakes in southern California, Earthquake Spectra 15 (1999) 537-555 Empirical relationships between modified Mercalli intensity 21 and response spectra Estimating 23 building inventory for rapid seismic vulnerability assessment: Towards an integrated 24 approach based on multi-source imaging, Seismic risk 27 mapping for Germany, Natural Hazards and Earth System Sciences, pp.25-70, 2000.

H. Modaressi, J. Müller, O. Rohmer, and . Sedan, Comparative risk assessments for the city of 10

. Pointe-À-pitre, French West Indies): earthquakes and storm surge, p.11

R. Meroni and . Pinho, Comparison of seismic risk maps for Italy, Bulletin of Earthquake Z. Ccedilagbrevenan, J, vol.18, issue.19, pp.149-180, 2009.

P. Gehl, T. Ulrich, J. Rohmer, C. Negulescu, A. Ducellier et al., Ranking of 24 epistemic uncertainties in scenario-based seismic risk evaluations, Proceedings of 11th 25, pp.246-256, 2008.

J. Rohmer and E. Foerster, Global sensitivity analysis of large scale landslide numerical 28 models based on the Gaussian Process meta-modelling, International Conference on Structural Safety and Reliability Markantonis, R. Schwarze, J. C. J. M. van den Bergh, L. M, pp.16-20, 2011.

. Viavattene, Review article: Assessing the costs of natural hazards ?
URL : https://hal.archives-ouvertes.fr/hal-00945648

F. Scherbaum, J. J. Bommer, H. Bungum, F. Cotton, N. A. Abrahamson et al., Composite Ground-Motion Models and Logic Trees: Methodology, Sensitivities, and Uncertainties, 10 spectral attenuation model for Japan using strong motion data base. In: Proceedings of the 11, pp.1575-1593, 2005.
DOI : 10.1785/0120040229

URL : https://hal.archives-ouvertes.fr/hal-00109282

]. C. Berge-thierry, F. Cotton, O. Scotti, D. Griot-pommera, Y. Fukushima et al., New empirical 14 response spectral attenuation laws for moderate European earthquakes Strong ground motion attenuation 17 relationships for subduction zone earthquakes, Journal of Earthquake Seismological Research Letters, vol.1546, issue.18, pp.13-45, 1997.