Some Interactive Decision Problems Emerging in Statistical Games

We consider games which arise when two statisticians must make a decision simultaneously, and the loss function depends on both decisions. We are interested, in particular, in situations when information is detrimental, in a sense to be made precise. We show that in certain problems related to Bayesian testing and prediction the phenomenon of information rejection occurs for certain values of the parameters involved.