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Adaptive approximate Bayesian computation for complex models
Maxime Lenormand, Franck Jabot, Guillaume Deffuant
Approximate Bayesian computation (ABC) is a family of computational techniques in Bayesian statistics. These techniques allow to fi t a model to data without relying on the computa…
Deriving the number of jobs in proximity services from the number of inhabitants in French rural municipalities
Maxime Lenormand, Sylvie Huet, Guillaume Deffuant
We use a minimum requirement approach to derive the number of jobs in proximity services per inhabitant in French rural municipalities. We first classify the municipalities accordi…
Generating French virtual commuting network at municipality level
Maxime Lenormand, Sylvie Huet, Floriana Gargiulo
We aim to generate virtual commuting networks in the French rural regions in order to study the dynamics of their municipalities. Since we have to model small commuting flows betwe…
A commuting network model: going to the bulk
Floriana Gargiulo, Maxime Lenormand, Sylvie Huet +1
The influence of commuting in socio-economic dynamics increases constantly. Analysing and modelling the networks formed by commuters to help decision-making regarding the land-use…