Stochastic Convergence, Second Edition covers the theoretical aspects of random power series dealing with convergence problems. This edition contains eight chap
Functionals on stochastic processes; Uniform convergence of empirical measures; Convergence in distribution in euclidean spaces; Convergence in distribution in
The book deals with several closely related topics concerning approxima tions and perturbations of random processes and their applications to some important and
Originally published in 1986, this valuable reference provides a detailed treatment of limit theorems and inequalities for empirical processes of real-valued ra
The purpose of this book is to present results on the subject of weak convergence to study invariance principles in statistical applications. Different techniqu