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  • 1
    Online Resource
    Online Resource
    Cambridge :Cambridge University Press,
    UID:
    almafu_9960120084102883
    Format: 1 online resource (xiv, 436 pages) : , digital, PDF file(s).
    ISBN: 0-511-66562-8
    Series Statement: Cambridge studies in advanced mathematics ; 63
    Content: 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.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , 1. Introduction: Donsker's theorem, metric entropy, and inequalitites 2. Gaussian measures and processes 3. Foundations of uniform central limit theorems: Donsker classes 4. Vapnik-Cervonenkis combinatorics 5. Measurability 6. Limit theorems for Vapnik-Cervonenkis classes and Koltchinskii-Pollard entropy 7. Metric entropy, with inclusion and bracketing 8. Approximation of functions and sets 9. Sums in general Banach spaces and invariance 10. Universal and uniform central limit theorems 11. The two-sample case, the bootstrap, and confidence sets 12. Classes of sets or functions too large for central limit theorems. , English
    Additional Edition: ISBN 0-521-05221-1
    Additional Edition: ISBN 0-521-46102-2
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Cambridge : Cambridge University Press
    UID:
    gbv_883385899
    Format: 1 online resource (xiv, 436 pages)
    ISBN: 9780521461023 , 9780521052214 , 9780511665622
    Series Statement: Cambridge studies in advanced mathematics 63
    Content: 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.
    Content: 1. Introduction: Donsker's theorem, metric entropy, and inequalitites 2. Gaussian measures and processes 3. Foundations of uniform central limit theorems: Donsker classes 4. Vapnik-Cervonenkis combinatorics 5. Measurability 6. Limit theorems for Vapnik-Cervonenkis classes and Koltchinskii-Pollard entropy 7. Metric entropy, with inclusion and bracketing 8. Approximation of functions and sets 9. Sums in general Banach spaces and invariance 10. Universal and uniform central limit theorems 11. The two-sample case, the bootstrap, and confidence sets 12. Classes of sets or functions too large for central limit theorems
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015)
    Additional Edition: ISBN 9780521461023
    Additional Edition: ISBN 9780521052214
    Additional Edition: Dudley, Richard M., 1938 - Uniform central limit theorems Cambridge [u.a.] : Cambridge University Press, 1999 ISBN 0521461022
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9780521461023
    Language: English
    Subjects: Mathematics
    RVK:
    Keywords: Zentraler Grenzwertsatz
    Author information: Dudley, Richard M. 1938-
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Book
    Book
    Cambridge [u.a.] : Cambridge Univ. Press
    UID:
    gbv_616162596
    Format: XIV, 436 S.
    Edition: Digitally print. vers.
    ISBN: 0521052211 , 9780521052214 , 9780521461023
    Series Statement: Cambridge studies in advanced mathematics 63
    Content: Literaturangaben
    Language: English
    Subjects: Mathematics
    RVK:
    Keywords: Zentraler Grenzwertsatz
    Author information: Dudley, Richard M. 1938-
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    Book
    Book
    Cambridge [u.a.] :Cambridge Univ. Press,
    UID:
    almahu_BV036605158
    Format: XIV, 436 S. : , graph. Darst.
    Edition: Digitally printed version
    ISBN: 978-0-521-05221-4
    Series Statement: Cambridge studies in advanced mathematics 63
    Language: English
    Subjects: Mathematics
    RVK:
    Keywords: Zentraler Grenzwertsatz
    Author information: Dudley, Richard M., 1938-
    Library Location Call Number Volume/Issue/Year Availability
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