Complete moment convergence for the linear processes with random coefficients generated by a class of random variables
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Publication:5039803
DOI10.1080/03610926.2021.1876238OpenAlexW3126791271MaRDI QIDQ5039803
Publication date: 4 October 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2021.1876238
Cites Work
- Unnamed Item
- Complete moment convergence for moving average process generated by \(\rho^{-}\)-mixing random variables
- Further research on complete moment convergence for moving average process of a class of random variables
- On complete convergence in Marcinkiewicz-Zygmund type SLLN for negatively associated random variables
- A note on the rate of convergence in the strong law of large numbers for martingales
- Complete moment convergence of moving average processes under dependence assumptions
- Precise asymptotics in the law of the iterated logarithm and the complete convergence for uniform empirical process
- Rosenthal type inequalities for asymptotically almost negatively associated random variables and applications
- A general law of precise asymptotics for the complete moment convergence
- Complete convergence for arrays
- Almost-sure results for a class of dependent random variables
- A comparison theorem on moment inequalities between negatively associated and independent random variables
- Complete moment convergence of moving-average processes under dependence assumptions
- Maximal inequalities and an invariance principle for a class of weakly dependent random variables
- Complete moment convergence of moving average processes under \(\varphi \)-mixing assumptions
- Complete moment convergence for the dependent linear processes with random coefficients
- Inequalities of maximum of partial sums and weak convergence for a class of weak dependent random variables
- Complete moment convergence of moving average processes under ρ-mixing assumption
- Convergence rates of the strong law for stationary mixing sequences
- Complete moment convergence for the widely orthant dependent linear processes with random coefficients
- Convergence Rates in the Law of Large Numbers
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