Book contents
- Frontmatter
- Dedication
- Contents
- Preface to the Second Edition
- 1 Donsker's Theorem and Inequalities
- 2 Gaussian Processes; Sample Continuity
- 3 Definition of Donsker Classes
- 4 Vapnik–Červonenkis Combinatorics
- 5 Measurability
- 6 Limit Theorems for VC-Type Classes
- 7 Metric Entropy with Bracketing
- 8 Approximation of Functions and Sets
- 9 Two Samples and the Bootstrap
- 10 Uniform and Universal Limit Theorems
- 11 Classes Too Large to Be Donsker
- Appendices
- Bibliography
- Notation Index
- Author Index
- Subject Index
4 - Vapnik–Červonenkis Combinatorics
Published online by Cambridge University Press: 05 June 2014
- Frontmatter
- Dedication
- Contents
- Preface to the Second Edition
- 1 Donsker's Theorem and Inequalities
- 2 Gaussian Processes; Sample Continuity
- 3 Definition of Donsker Classes
- 4 Vapnik–Červonenkis Combinatorics
- 5 Measurability
- 6 Limit Theorems for VC-Type Classes
- 7 Metric Entropy with Bracketing
- 8 Approximation of Functions and Sets
- 9 Two Samples and the Bootstrap
- 10 Uniform and Universal Limit Theorems
- 11 Classes Too Large to Be Donsker
- Appendices
- Bibliography
- Notation Index
- Author Index
- Subject Index
Summary
This chapter will treat some classes of sets satisfying a combinatorial condition. In Chapter 6 it will be shown that under a mild measurability condition to be treated in Chapter 5, these classes have the Donsker property, for all probability measures P on the sample space, and satisfy a law of large numbers (Glivenko–Cantelli property) uniformly in P. Moreover, for either of these limit-theorem properties of a class of sets (without assuming any measurability), the Vapnik–Červonenkis property is necessary (Section 6.4).
The name Červonenkis is sometimes transliterated into English as Chervonenkis. The present chapter will be self-contained, not depending on anything earlier in this book, except in some examples.
Vapnik–Červonenkis Classes of Sets
Let X be any set and C a collection of subsets of X. For A ⊂ X let CA:= C ⊓ A:= A ⊓ C:= {C ⋂ A: C ∈ C}. Let card(A):= |A| denote the cardinality (number of elements) of A and 2A:={B: B ⊂ A}. Let ΔC(A):=|CA|. If A ⊓ C = 2A, then C is said to shatter A. If A is finite, then C shatters A if and only if ΔC(A) = 2|A|.
- Type
- Chapter
- Information
- Uniform Central Limit Theorems , pp. 175 - 212Publisher: Cambridge University PressPrint publication year: 2014