BETA: Related publications

Publications

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Abboud C, Parent E, Bonnefon O, et al. (2023) Forecasting Pathogen Dynamics with Bayesian Model-Averaging: Application to Xylella fastidiosa. Bulletin of Mathematical Biology. 85: 67
Commeau N, Parent E, Delignette-Muller ML, et al. (2012) Fitting a lognormal distribution to enumeration and absence/presence data. International Journal of Food Microbiology. 155: 146-52
Commeau N, Cornu M, Albert I, et al. (2012) Hierarchical Bayesian models to assess between- and within-batch variability of pathogen contamination in food. Risk Analysis : An Official Publication of the Society For Risk Analysis. 32: 395-415
Eckert N, Keylock CJ, Bertrand D, et al. (2012) Quantitative risk and optimal design approaches in the snow avalanche field: Review and extensions Cold Regions Science and Technology. 79: 1-19
Lavigne A, Bel L, Parent E, et al. (2012) A model for spatio-temporal clustering using multinomial probit regression: application to avalanche counts Environmetrics. 23: 522-534
Spor A, Dillmann C, Wang S, et al. (2010) Hierarchical Bayesian Modelling for Saccharomyces cerevisiae population dynamics. International Journal of Food Microbiology. 142: 25-35
Piffady J, Souchon Y, Capra H, et al. (2010) Quantifying the effects of temperature and flow regime on the abundance of 0+ cyprinids in the upper River Rhone using Bayesian hierarchical modelling Freshwater Biology. 55: 2359-2374
Ancelet S, Etienne MP, Benoît H, et al. (2010) Modelling spatial zero-inflated continuous data with an exponentially compound Poisson process Environmental and Ecological Statistics. 17: 347-376
Eckert N, Parent E, Kies R, et al. (2010) A spatio-temporal modelling framework for assessing the fluctuations of avalanche occurrence resulting from climate change: application to 60 years of data in the northern French Alps Climatic Change. 101: 515-553
Eckert N, Parent É, Faug T, et al. (2009) Bayesian optimal design of an avalanche dam using a multivariate numerical avalanche model Stochastic Environmental Research and Risk Assessment. 23: 1123-1141
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