The title High Dimensional Probability is used to describe the
many tributaries of research on Gaussian processes and probability
in Banach spaces that started in the early 1970s. Many of the
problems that motivated researchers at that time were solved. But
the powerful new tools created for their solution turned out to be
applicable to other important areas of probability. They led to
significant advances in the study of empirical processes and other
topics in theoretical statistics and to a new approach to the study
of aspects of Levy processes and Markov processes in general. The
papers in this book reflect these broad categories. The volume thus
will be a valuable resource for postgraduates and reseachers in
probability theory and mathematical statistics."
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