Initially the theory of convergence in law of stochastic processes was developed quite independently from the theory of martingales, semimartingales and stochas

This volume is the first to present a state-of-the-art overview of this field, with many results published for the first time. It covers the general conditions

Functionals on stochastic processes; Uniform convergence of empirical measures; Convergence in distribution in euclidean spaces; Convergence in distribution in

From the reviews: "The material is self-contained, but it is technical and a solid foundation in probability and queuing theory is beneficial to prospective rea

This book shows how techniques from the perturbation theory of operators, applied to a quasi-compact positive kernel, may be used to obtain limit theorems for M