Ebook Info
- Published: 2014
- Number of pages: 486 pages
- Format: PDF
- File Size: 3.81 MB
- Authors: R. M. Dudley
Description
In this new edition of a classic work on empirical processes the author, an acknowledged expert, gives a thorough treatment of the subject with the addition of several proved theorems not included in the first edition, including the Bretagnolle–Massart theorem giving constants in the Komlos–Major–Tusnady rate of convergence for the classical empirical process, Massart’s form of the Dvoretzky–Kiefer–Wolfowitz inequality with precise constant, Talagrand’s generic chaining approach to boundedness of Gaussian processes, a characterization of uniform Glivenko–Cantelli classes of functions, Giné and Zinn’s characterization of uniform Donsker classes, and the Bousquet–Koltchinskii–Panchenko theorem that the convex hull of a uniform Donsker class is uniform Donsker. The book will be an essential reference for mathematicians working in infinite-dimensional central limit theorems, mathematical statisticians, and computer scientists working in computer learning theory. Problems are included at the end of each chapter so the book can also be used as an advanced text.
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Free Download Uniform Central Limit Theorems (Cambridge Studies in Advanced Mathematics Book 142) 2nd Edition in PDF format
Uniform Central Limit Theorems (Cambridge Studies in Advanced Mathematics Book 142) 2nd Edition PDF Free Download
Download Uniform Central Limit Theorems (Cambridge Studies in Advanced Mathematics Book 142) 2nd Edition 2014 PDF Free
Uniform Central Limit Theorems (Cambridge Studies in Advanced Mathematics Book 142) 2nd Edition 2014 PDF Free Download
Download Uniform Central Limit Theorems (Cambridge Studies in Advanced Mathematics Book 142) 2nd Edition PDF
Free Download Ebook Uniform Central Limit Theorems (Cambridge Studies in Advanced Mathematics Book 142) 2nd Edition