This text offers a mathematically rigorous exposition of the basic
theory of marked point processes developing randomly over time, and
shows how this theory may be used to treat piecewise deterministic
stochastic processes in continuous time. The point processes are
constructed from scratch with detailed proofs. The second part of the
book addresses applications of the just developed theory; this analysis
of various models in applied statistics and probability includes
examples and exercises. Graduate students and researchers will find this
text an excellent resource, requiring for mastery a solid foundation in
probability theory, measure and integration, as well as some knowledge
of stochastic processes and martingales. However, the material is
presented so as to be accessible to a wider cross-disciplinary audience.