The spatial map of discrete class labels is , where
is the class label at spatial location
. Assuming conditional
independence of the likelihood, the full posterior distribution of
the unknown parameters given the observed spatial map is:
We consider three different mixture models, which are
distinguished by their priors on
(
). These are non-spatial, with and
without global class proportion parameters, and spatial mixture
models.