  Recently, a very attractive logistic regression inference method for
exponential family Gibbs spatial point processes was introduced. We combined it
with the technique of quadratic tangential variational approximation and
derived a new Bayesian technique for analysing spatial point patterns. The
technique is described in detail, and demonstrated on numerical examples.
