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
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
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