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

Limit theorems for stochastic processes are an important part of probability theory and mathematical statistics and one model that has attracted the attention o

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

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

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