This book gives a self-contained introduction to the dynamic martingale
approach to marked point processes (MPP). Based on the notion of a
compensator, this approach gives a versatile tool for analyzing and
describing the stochastic properties of an MPP. In particular, the
authors discuss the relationship of an MPP to its compensator and
particular classes of MPP are studied in great detail. The theory is
applied to study properties of dependent marking and thinning, to prove
results on absolute continuity of point process distributions, to
establish sufficient conditions for stochastic ordering between point
and jump processes, and to solve the filtering problem for certain
classes of MPPs.