Limiting behaviors of linear processes with random coefficients based on m-ANA random variables
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Publication:5093918
DOI10.7153/jmi-2022-16-48OpenAlexW4285231816MaRDI QIDQ5093918
Publication date: 2 August 2022
Published in: Journal of Mathematical Inequalities (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.7153/jmi-2022-16-48
complete convergencestrong law of large numberslinear processrandom coefficientscomplete moment convergence\(m\)-ANA random variables
Cites Work
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- Large deviations for some weakly dependent random processes
- Complete moment convergence of moving average processes under dependence assumptions
- Complete convergence of moving average processes under dependence assumptions
- Complete convergence of moving average processes
- On the convergence of moving average processes under negatively associated random variables
- Strong laws of large numbers for weighted sums of random elements in normed linear spaces
- Strong convergence properties for weighted sums of \(m\)-asymptotic negatively associated random variables and statistical applications
- Complete moment convergence of moving average processes under \(\varphi \)-mixing assumptions
- Complete moment convergence for the dependent linear processes with random coefficients
- Complete moment convergence for weighted sums of weakly dependent random variables and its application in nonparametric regression model
- Limiting behaviour of moving average processes based on a sequence of \(\rho^{-}\) mixing and negatively associated random variables
- Limiting behaviour of moving average processes under \(\varphi \)-mixing assumption
- ON THE COMPLETE MOMENT CONVERGENCE OF MOVING AVERAGE PROCESSES GENERATED BY ρ*-MIXING SEQUENCES
- On the convergence of moving average processes under dependent conditions
- Some general strong laws for weighted sums of stochastically dominated random variables
- Complete moment convergence for the widely orthant dependent linear processes with random coefficients
- Convergence rates in the law of large numbers for END linear processes with random coefficients
- Limit Theorems for Moving Averages with Random Coefficients and Heavy-Tailed Noise
- Some Limit Theorems for Stationary Processes
- Complete Convergence and the Law of Large Numbers
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