Book contents
- Frontmatter
- Contents
- Preface
- Table of Dependence
- Chapter 1 Sums of Independent Random Variables
- Chapter 2 The Central Limit Theorem
- Chapter 3 Infinitely Divisible Laws
- Chapter 4 Lévy Processes
- Chapter 5 Conditioning and Martingales
- Chapter 6 Some Extensions and Applications of Martingale Theory
- Chapter 7 Continuous Parameter Martingales
- Chapter 8 Gaussian Measures on a Banach Space
- Chapter 9 Convergence of Measures on a Polish Space
- Chapter 10 Wiener Measure and Partial Differential Equations
- Chapter 11 Some Classical Potential Theory
- Notation
- Index
Chapter 9 - Convergence of Measures on a Polish Space
Published online by Cambridge University Press: 05 June 2012
- Frontmatter
- Contents
- Preface
- Table of Dependence
- Chapter 1 Sums of Independent Random Variables
- Chapter 2 The Central Limit Theorem
- Chapter 3 Infinitely Divisible Laws
- Chapter 4 Lévy Processes
- Chapter 5 Conditioning and Martingales
- Chapter 6 Some Extensions and Applications of Martingale Theory
- Chapter 7 Continuous Parameter Martingales
- Chapter 8 Gaussian Measures on a Banach Space
- Chapter 9 Convergence of Measures on a Polish Space
- Chapter 10 Wiener Measure and Partial Differential Equations
- Chapter 11 Some Classical Potential Theory
- Notation
- Index
Summary
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- Probability TheoryAn Analytic View, pp. 367 - 399Publisher: Cambridge University PressPrint publication year: 2010