Real Analysis and Probability

Real Analysis and Probability

3.66 (9 ratings by Goodreads)
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Description

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.show more

Product details

  • Hardback | 512 pages
  • 167.64 x 236.22 x 25.4mm | 793.78g
  • Kluwer Academic Publishers Group
  • Kluwer Academic Publishers
  • Dordrecht, Netherlands
  • English
  • 0534100503
  • 9780534100506

Table of contents

Foundations: set theory. General topology. Measures. Integration. Lp spaces: introduction to functional analysis. Convex sets and duality of normed spaces. Measure, topology and differentiation. Introduction to probability theory. Convergence of laws and central limit theorems. Conditional expectation and martingales. Convergence of laws on separable metric spaces. Stochastic processes. Measurability: Borel isomorphism and analytic sets. Appendices.show more

Rating details

9 ratings
3.66 out of 5 stars
5 22% (2)
4 33% (3)
3 33% (3)
2 11% (1)
1 0% (0)
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