Strong invariance principles for triangular arrays of weakly dependent random variables
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Publication:4859245
DOI10.2307/3315369zbMath0836.60029OpenAlexW2029979513MaRDI QIDQ4859245
Abdelhak Zoglat, André Robert Dabrowski
Publication date: 9 April 1996
Published in: Canadian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2307/3315369
functional central limit theoremlaw of the iterated logarithmtriangular arraysstrong invariance principlerate of convergence of estimators in regression analysisweakly dependent real random variables
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Cites Work
- A note on the law of iterated logarithm for weighted sums of random variables
- On iterated logarithm laws for linear arrays and nonparametric regression estimators
- An invariance principle for certain dependent sequences
- A law of the iterated logarithm for double arrays of independent random variables with applications to regression and time series models
- Iterated logarithm results for weighted averages of martingale difference sequences
- Approximation theorems for independent and weakly dependent random vectors
- An almost sure invariance principle for triangular arrays of banach space valued random variables
- Laws of the iterated logarithm for nonparametric density estimators
- Invariance principles for sums of Banach space valued random elements and empirical processes
- Almost sure invariance principles for partial sums of weakly dependent random variables
- On strassen's version of the loglog law
- An Iterated Logarithm Theorem for Some Weighted Averages of Independent Random Variables
- The functional law of the iterated logarithm for dependent random variables
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