Méthodes pour l'EXploration Informatique des modèles COmplexes

2011

Carpani M., Bergez J.-E., Monod H. (2011). Sensitivity analysis of a hierarchical qualitative model for sustainability assessment of cropping systems - the case of MASC. Environmental Modelling & Software, 27-28, 15-22. (doi)

Courcoul A., Monod H., Nielen M., Klinkenberg D., Hogerwerf L., Beaudeau F., Vergu E. (2011). Modelling the effect of heterogeneity of shedding on the within herd Coxiella burnetii spread and identification of key parameters by sensitivity analysis. Journal of Theoretical Biology, 284, 130-141. (doi)

Lamboni M., Monod H., Makowski D. (2011). Multivariate sensitivity analysis to measure global contribution of input factors in dynamic models. Reliability Engineering and System Safety, 96: 450-459. (doi)

Lamboni M., Makowski D., Monod H. (2011). Indices de sensibilité, sélection de paramètres et erreur quadratique de prédiction: des liaisons dangereuses? Journal de la Société Française de Statistique, 152, 26-48.

2010

Ellouze M., Gauchi J.P., Augustin J. (2010). Global sensitivity analysis applied to a contamination assessment model of listeria monocytogenes in cold smoked salmon at consumption. Risk Analysis, 30(5): 841-852.
 

Ellouze M., Gauchi J.P., Augustin J. (2010). Use of global sensitivity analysis in quantitative microbial risk assessment: application to the evaluation of a biological time temperature integrator as a quality and safety indicator for cold smoked salmon. Journal Food Microbiology, 2010. on line.

2009

Lamboni, M., Makowski, D., Monod, H. (2009). Multivariate global sensitivity analysis for dynamic crop models. Fields Crop Research, Vol. 113, pp. 312-320. (doi)

Lurette, A., Touzeau, S., Lamboni, M., Monod, H. (2009). Sensitivity analysis to identify key parameters influencing Salmonella infection dynamics in a pig batch. J. Theor. Biol., Vol. 258(1), pp. 43-52. (doi)

2008

Viaud, V., Monod, H., Lavigne, C., Angevin, F., Adamczyk, K. (2008). Spatial sensitivity of maize gene-flow to landscape pattern: a simulation approach. Landscape Ecology, Vol. 23, pp. 1067-1079. (doi)
 

2007

Ginot, V., Monod, H. (2007). Exploring Models by Simulation. In: Amblard, F., Phan, D. (eds.) Agent-based modelling and simulation in the social and human sciences, Chapter 3, pp. 63-91. Bardwell Press.

2006

Ginot, V., Monod, H., 2006. Explorer les modèles par simulation: application aux analyses de sensibilité. In: Amblard, F., Phan, D. (eds.) Modélisation et Simulation Multi agents, applications pour les Sciences
de l'Homme et de la Société, Chapitre 3, pp. 75-100. Lavoisier (Hermès Science), Paris.
 

Ginot, V., Gaba, S., Beaudouin, R., Aries, F., Monod, H. (2006). Combined use of local and ANOVA-based global sensitivity analyses for the investigation of a stochastic dynamic model: Application to the case study of an individual-based model of a fish population. Ecological Modelling, 193, pp. 479-491.

Makowski, D., Naud, C., Monod, H., Jeuffroy, M.-H., Barbottin, A. (2006). Global sensitivity analysis for calculating the contribution of genetic parameters to the variance of crop model prediction. Reliability Engineering and System Safety, Vol. 91(10), pp. 1142-1147.
 

Monod, H., Naud, C. Makowski, D., 2006. Uncertainty and sensitivity analysis for crop models. In: Wallach, D., Makowski, D., Jones, J. W. (eds.) Working with Dynamic Crop Models: Evaluation, Analysis, Parameterization, and Applications, Chapter 4. Elsevier, pp. 55-100.