24 citations · 94 across the 21 of their papers we have counts for
Showing 2017Show all
2 papers · 1 filter
stat.AP2017
Sensitivity analysis of spatio-temporal models describing nitrogen transfers, transformations and losses at the landscape scale
Jordi Ferrer Savall, Damien Franqueville, Pierre Barbillon +5
Modelling complex systems such as agroecosystems often requires the quantification of a large number of input factors. Sensitivity analyses are useful to determine the appropriate…
stat.ME2017
Variational Inference for Stochastic Block Models from Sampled Data
Timothée Tabouy, Pierre Barbillon, Julien Chiquet
This paper deals with non-observed dyads during the sampling of a network and consecutive issues in the inference of the Stochastic Block Model (SBM). We review sampling designs an…