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Weisswange et al. distinguish between two strategies for Bayesian multisensory integration: model averaging and model selection.

The model averaging strategy computes the posterior probability for the position of the signal source, taking into account the possibility that the stimuli had the same source and the possibility that they had two distinct sources.

The model selection strategy computes the most likely of these two possibilities. This has been called causal inference.