Indeed the monograph has the potential to become a (possibly even “the”) major reference book on large parts of probability theory for the next decade or more.” M. “…readers are likely to regard the book as an ideal reference. Extensive notes and a detailed bibliography make it easy to go beyond the presented material if desired.

To help the reader, the material has been grouped together into ten major areas, each arguably indispensable to any serious graduate student and researcher, regardless of their specialization.Įach chapter is largely self-contained and includes plenty of exercises, making the book ideal for self-study and for designing graduate-level courses and seminars in different areas and at different levels. Apart from important improvements and revisions, some of the earlier chapters have been entirely rewritten. Much has been added to the previous edition, including eight entirely new chapters on subjects like random measures, Malliavin calculus, multivariate arrays, and stochastic differential geometry.

It is a truly modern text, providing not only classical results but also material that will be important for future research. This new, thoroughly revised and expanded 3 rd edition of a classic gives a comprehensive coverage of modern probability in a single book.

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