The central limit theorem for empirical processes on V-Č classes: A majorizing measure approach
From MaRDI portal
Publication:1346933
DOI10.1007/BF02562693zbMath0833.60036MaRDI QIDQ1346933
Publication date: 10 May 1995
Published in: Test (Search for Journal in Brave)
Functional limit theorems; invariance principles (60F17) Limit theorems for vector-valued random variables (infinite-dimensional case) (60B12)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- The central limit theorem for empirical processes on Vapnik- Červonenkis classes
- Regularity of Gaussian processes
- Some limit theorems for empirical processes (with discussion)
- A uniform central limit theorem for set-indexed partial-sum processes with finite variance
- A central limit theorem under metric entropy with \(L_ 2\) bracketing
- The central limit theorem and the law of iterated logarithm for empirical processes under local conditions
- The sizes of compact subsets of Hilbert space and continuity of Gaussian processes
- Sample functions of the Gaussian process
- Continuity Properties of Some Gaussian Processes
- Probability Inequalities for the Sum of Independent Random Variables
- Law of the iterated logarithm for set-indexed partial sum processes with finite variance
- The Central Limit Theorem for Empirical Processes Under Local Conditions: The Case of Radon Infinitely Divisible Limits without Gaussian Component
- Probability Inequalities for Sums of Bounded Random Variables
- On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
- Convergence of stochastic processes
This page was built for publication: The central limit theorem for empirical processes on V-Č classes: A majorizing measure approach