This book will enable researchers and students of analysis to more
easily understand research papers in which probabilistic methods
are used to prove theorems of analysis, many of which have no other
known proofs. The book assumes a course in measure and integration
theory but requires little or no background in probability theory.
It emplhasizes topics of interest to analysts, including random
series, martingales and Brownian motion.
General
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