Real Analysis and Probability
Format:Hardback
Publisher:Taylor & Francis Ltd
Published:8th Dec '17
Currently unavailable, and unfortunately no date known when it will be back
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.
ISBN: 9781315897097
Dimensions: unknown
Weight: 453g
450 pages