This volume by two international leaders in the field proposes a
systematic exposition of convergence in law for stochastic processes
from the point of view of semimartingale theory. It emphasizes results
that are useful for mathematical theory and mathematical statistics.
Coverage develops in detail useful parts of the general theory of
stochastic processes, such as martingale problems and absolute
continuity or contiguity results.