Classification with Parameter Estimation for Objects in a System

We obtain an adaptive Bayes solution of the problem combining classification with parameter estimation for objects that are part of a system. The solution allows for the dependence of the loss function on the presence and the parameters of other objects in the system and on the decisions made regarding these other objects. The problem is solved under parametric prior uncertainty. An example is given.