Publisher's Synopsis
This volume presents an up-to-date review of the most significant developments in strong Approximation and strong Convergence in probability theory. The book consists of three chapters; the first deals with Wiener and Gaussian processes; Chapter 2 is devoted to the increments of partial sums of independent random variables; and Chapter 3 concentrates on the strong laws of processes generated by infinite-dimensional Ornstein-Uhlenbeck processes. This book is intended for researchers whose work involves probability theory and statistics.
