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Cited by 785

The DOI matches its Crossref record; 94 of the 94 references it cites were found in a registry or an index.

Uniform Central Limit Theorems

Dudley, R. M.·1999·Cambridge University Press eBooks

Abstract

This book shows how the central limit theorem for independent, identically distributed random variables with values in general, multidimensional spaces, holds uniformly over some large classes of functions. The author, an acknowledged expert, gives a thorough treatment of the subject, including several topics not found in any previous book, such as the Fernique-Talagrand majorizing measure theorem for Gaussian processes, an extended treatment of Vapnik-Chervonenkis combinatorics, the Ossiander L2 bracketing central limit theorem, the Giné-Zinn bootstrap central limit theorem in probability, the Bronstein theorem on approximation of convex sets, and the Shor theorem on rates of convergence over lower layers. Other results of Talagrand and others are surveyed without proofs in separate sections. Problems are included at the end of each chapter so the book can be used as an advanced text. The book will interest mathematicians working in probability, mathematical statisticians and computer scientists working in computer learning theory.

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Metadata

Authors
Dudley, R. M.
Venue
Cambridge University Press eBooks
Published
1999-07-28
OpenAlex
W1507545330
Cited by
785
References
94
FWCI
3.80
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: Uniform Central Limit Theorems. https://app.cochat.ai/papers/10.1017/cbo9780511665622
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Dudley, R. M. (1999). Uniform Central Limit Theorems. Cambridge University Press eBooks. https://doi.org/10.1017/cbo9780511665622

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.