Rates of convergence for classes of functions: The non-i.i.d. case
From MaRDI portal
Publication:1083113
DOI10.1016/0047-259X(86)90076-XzbMath0604.60029OpenAlexW1966425380MaRDI QIDQ1083113
Publication date: 1986
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0047-259x(86)90076-x
Hypothesis testing in multivariate analysis (62H15) Strong limit theorems (60F15) Limit theorems in probability theory (60F99)
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Cites Work
- The oscillation behavior of empirical processes: The multivariate case
- A functional central limit theorem for weakly dependent sequences of random variables
- Convergence of sums of mixing triangular arrays of random vectors with stationary rows
- Probability inequalities for empirical processes and a law of the iterated logarithm
- Some limit theorems for empirical processes (with discussion)
- Laws of large numbers for classes of functions
- The oscillation behavior of empirical processes
- A law of the logarithm for kernel density estimators
- Limit theorems and inequalities for the uniform empirical process indexed by intervals
- Central limit theorems for empirical measures
- [https://portal.mardi4nfdi.de/wiki/Publication:3038407 Propri�t�s de convergence presque compl�te du pr�dicteur � noyau]
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