The purpose of this book is to present a comprehensive account
of the different definitions of stochastic integration for fBm, and
to give applications of the resulting theory. Particular emphasis
is placed on studying the relations between the different
approaches. Readers are assumed to be familiar with probability
theory and stochastic analysis, although the mathematical
techniques used in the book are thoroughly exposed and some of the
necessary prerequisites, such as classical white noise theory and
fractional calculus, are recalled in the appendices. This book will
be a valuable reference for graduate students and researchers in
mathematics, biology, meteorology, physics, engineering and
finance.
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