Complete convergence for weighted sums of arrays of rowwise \({\tilde\rho}\)-mixing random variables
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Publication:2437660
DOI10.1186/1029-242X-2013-356zbMath1287.60041WikidataQ59301078 ScholiaQ59301078MaRDI QIDQ2437660
Yan Shen, Xinghui Wang, Aiting Shen, Ran Chao Wu
Publication date: 13 March 2014
Published in: Journal of Inequalities and Applications (Search for Journal in Brave)
complete convergencecomplete consistency\({\tilde\rho}\)-mixing sequencearrays of rowwise \({\tilde\rho}\)-mixing random variables
Related Items (6)
The consistency for the estimators of semiparametric regression model based on weakly dependent errors ⋮ Complete and complete moment convergence for weighted sums of ρ̃-mixing random variables ⋮ Complete moment convergence for arrays of rowwise \(\mathbf{\varphi}\)-mixing random variables ⋮ Equivalent conditions of complete moment and integral convergence for a class of dependent random variables ⋮ A note on the consistency for the estimators of semiparametric regression model ⋮ Complete convergence for weighted sums of NSD random variables and its application in the EV regression model
Cites Work
- A complete convergence theorem for weighted sums of arrays of rowwise negatively dependent random variables
- Complete convergence of weighted sums under negative dependence
- On complete convergence for arrays of rowwise weakly dependent random variables
- Some strong limit theorems for \(\tilde \rho\)-mixing sequences of random variables
- Complete convergence of weighted sums for \(\rho *\)-mixing sequence of random variables
- On the complete convergence of weighted sums for arrays of negatively associated variables
- On the spectral density and asymptotic normality of weakly dependent random fields
- Complete convergence for arrays
- Almost-sure results for a class of dependent random variables
- Almost sure convergence for \(\tilde{\rho}\)-mixing random variable sequences
- Maximal inequalities and an invariance principle for a class of weakly dependent random variables
- On the asymptotic normality of sequences of weak dependent random variables
- Maximum of partial sums and an invariance principle for a class of weak dependent random variables
- Complete Convergence and the Law of Large Numbers
- On a Theorem of Hsu and Robbins
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