  Point process models are widely used tools to issue forecasts or assess
risks. In order to check which models are useful in practice, they are examined
by a variety of statistical methods. We transfer the concept of consistent
scoring functions, which are principled statistical tools to compare forecasts,
to the point process setting. The results provide a novel approach for the
comparative assessment of forecasts and models and encompass some existing
testing procedures.
