modelling

Bayesian inference of bipartite networks structure

Inferring the structure of bipartite (e.g. pollination, frugivory, or herbivory) networks from field (observational) data is a challenging task. Interaction data are hard to collect and require typically large sampling efforts, particularly to characterize infrequent interactions.

Lumping, splitting, or pooling taxa for niche estimation? An evaluation through computer simulations