Written by one of the best-known probabilists in the world this
text offers a clear and modern presentation of modern probability
theory and an exposition of the interplay between the properties of
metric spaces and those of probability measures. This text is the
first at this level to include discussions of the subadditive
ergodic theorems, metrics for convergence in laws and the Borel
isomorphism theory. The proofs for the theorems are consistently
brief and clear and each chapter concludes with a set of historical
notes and references. This book should be of interest to students
taking degree courses in real analysis and/or probability theory.
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