
Uniform Central Limit Theorems by R M Dudley
This classic work on empirical processes has been considerably expanded and revised from the original edition. When samples become large, the probability laws of large numbers and central limit theorems are guaranteed to hold uniformly over wide domains. The author, an acknowledged expert, gives a thorough treatment of the subject, including the Fernique-Talagrand majorizing measure theorem for Gaussian processes, an extended treatment of Vapnik-Chervonenkis combinatorics, the Ossiander L2 bracketing central limit theorem, the Gin -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. This new edition contains 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, Gin and Zinn's characterization of uniform Donsker classes (i.e., classing Donsker uniformly over all probability measures P), 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.-
A Primer of Nonlinear Analysis
-
Complex Topological K-Theory
-
Mathematical Aspects of Quantum Field Theory
-
Enumerative Combinatorics: Volume 1
-
Introduction to Homotopy Type Theory
-
Hodge Theory and Complex Algebraic Geometry I: Volume 1
-
Random Graphs
-
Enumerative Combinatorics: Volume 2
-
Algebraic Number Theory
-
Spectral Theory and Differential Operators
-
An Introduction to the Theory of the Riemann Zeta-Function
-
Hardy Spaces
-
Gaussian Processes on Trees
-
Multidimensional Real Analysis I
-
Periodic Elliptic Partial Differential Operators
-
Higher Index Theory
-
A Course in Finite Group Representation Theory
-
Optimal Control and Geometry: Integrable Systems
-
The Theory of Fusion Systems
-
Derived Categories
-
Random Fragmentation and Coagulation Processes
-
Levy Processes and Stochastic Calculus
-
Holomorphic Dynamics
-
An Introduction to Invariants and Moduli
-
Quasiconformal Surgery in Holomorphic Dynamics
-
Martingales in Banach Spaces
-
Tolerance Graphs
-
An Outline of Ergodic Theory
-
Spectra of Discrete Structures
-
Analytic Combinatorics in Several Variables
-
Fourier Analysis and Partial Differential Equations
-
Riemannian Geometry
-
Representations of the Infinite Symmetric Group
-
Soliton Equations and their Algebro-Geometric Solutions: Volume 1, (1+1)-Dimensional Continuous Models
-
Local Cohomology
-
Multiplicative Number Theory I
-
Analysis in Integer and Fractional Dimensions
-
An Introduction to Nonlinear Analysis
-
Extremal Graph and Hypergraph Theory
-
The Bellman Function Technique in Harmonic Analysis
-
Explicit Brauer Induction
-
Random Walk: A Modern Introduction
-
Clifford Algebras and the Classical Groups
-
Wavelets
-
The Logarithmic Integral: Volume 2
R. M. Dudley is a Professor of Mathematics at the Massachusetts Institute of Technology in Cambridge, Massachusetts.
| SKU | Unavailable |
| ISBN 13 | 9780521498845 |
| ISBN 10 | 0521498848 |
| Title | Uniform Central Limit Theorems |
| Author | R M Dudley |
| Series | Cambridge Studies In Advanced Mathematics |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Cambridge University Press |
| Year published | 2014-02-24 |
| Number of pages | 486 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |












































