The Central Limit Theorem for Empirical Processes Under Local Conditions: The Case of Radon Infinitely Divisible Limits without Gaussian Component
From MaRDI portal
Publication:3810620
DOI10.2307/2001094zbMath0661.60052OpenAlexW4234268892MaRDI QIDQ3810620
No author found.
Publication date: 1988
Full work available at URL: https://doi.org/10.2307/2001094
Asymptotic distribution theory in statistics (62E20) Central limit and other weak theorems (60F05) Strong limit theorems (60F15) Functional limit theorems; invariance principles (60F17) Limit theorems for vector-valued random variables (infinite-dimensional case) (60B12)
Related Items (8)
The central limit theorem for empirical processes on V-Č classes: A majorizing measure approach ⋮ Central limit theorem for stochastically continuous processes. Convergence to stable limit ⋮ Rates of almost sure convergence of plug-in estimates for distortion risk measures ⋮ Continuous mapping approach to the asymptotics of \(U\)- and \(V\)-statistics ⋮ Weak convergence for the row sums of a triangular array of empirical processes under bracketing conditions ⋮ Glivenko-Cantelli-type theorems for weighted empirical distribution functions based on uniform spacings ⋮ On the asymptotic distributions of weighted uniform mulitivariate empirical processes ⋮ Convergence rates of least squares regression estimators with heavy-tailed errors
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Regularity of Gaussian processes
- Remarques sur les classes de Vapnik-Červonenkis
- Some results on the continuity of stable processes and the domain of attraction of continuous stable processes
- Characterizations of almost surely continuous p-stable random Fourier series and strongly stationary processes
- Some limit theorems for empirical processes (with discussion)
- The central limit theorem in the space C(S) and majorizing measures
- Normal and stable convergence of integral functions of the empirical distribution function
- Empirical processes indexed by Lipschitz functions
- Characterization of the law of the iterated logarithm in Banach spaces
- Inequalities for B-valued random vectors with applications to the strong law of large numbers
- Central limit theorems for C(S)-valued random variables
- Some stability results for vector valued random variables
- The central limit theorem for stochastic processes
- The central limit theorem and the law of iterated logarithm for empirical processes under local conditions
- Probability Inequalities for the Sum of Independent Random Variables
- 𝜉-radial processes and random Fourier series
- Central limit problem for symmetric case: Convergence to non-Gaussian laws
- Central limit theorems and weak laws of large numbers in certain banach spaces
- [https://portal.mardi4nfdi.de/wiki/Publication:3956139 Loi du logarithme it�r� dans C S) et fonction caract�ristique empirique]
This page was built for publication: The Central Limit Theorem for Empirical Processes Under Local Conditions: The Case of Radon Infinitely Divisible Limits without Gaussian Component