Complete moment convergence for randomly weighted sums of END sequences and its applications
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Publication:5079990
DOI10.1080/03610926.2019.1678637OpenAlexW2982029632MaRDI QIDQ5079990
Publication date: 30 May 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2019.1678637
complete convergencecomplete moment convergenceextended negatively dependentnon parametric regression model
Related Items (7)
Complete convergence for maximum of weighted sums of WNOD random variables and its application ⋮ Complete moment convergence for maximum of randomly weighted sums of martingale difference sequences ⋮ Complete and complete \(f\)-moment convergence for arrays of rowwise END random variables and some applications ⋮ Complete \(f\)-moment convergence for maximal randomly weighted sums of arrays of rowwise widely orthant dependent random variables and its statistical applications ⋮ On complete convergence in Marcinkiewicz-Zygmund type SLLN for random variables ⋮ Complete moment convergence for randomly weighted sums of arrays of rowwise \(m_n\)-extended negatively dependent random variables and its applications ⋮ ℒ_p-convergence for weighted sums of arrays of rowwise extended negatively dependent random variables
Cites Work
- Unnamed Item
- Probability inequalities for END sequence and their applications
- The consistency for estimator of nonparametric regression model based on NOD errors
- Complete moment convergence and mean convergence for arrays of rowwise extended negatively dependent random variables
- Consistent nonparametric multiple regression for dependent heterogeneous processes: the fixed design case
- Precise large deviations for dependent random variables with heavy tails
- Weak and universal consistency of moving weighted averages
- Nonparametric function recovering from noisy observations
- Consistent nonparametric multiple regression: the fixed design case
- Consistent nonparametric regression. Discussion
- Complete convergence and complete moment convergence for maximal weighted sums of extended negatively dependent random variables
- The convergence of double-indexed weighted sums of martingale differences and its application
- Equivalent conditions of complete moment convergence of weighted sums for \(\rho^\ast\)-mixing sequence of random variables
- Complete convergence of randomly weighted END sequences and its application
- Complete moment convergence for weighted sums of weakly dependent random variables and its application in nonparametric regression model
- Complete convergence and complete moment convergence for martingale difference sequence
- On complete convergence for widely orthant-dependent random variables and its applications in nonparametric regression models
- Asymptotic properties for estimates of nonparametric regression models based on negatively associated sequences
- Conditional convergence for randomly weighted sums of random variables based on conditional residual \(h\)-integrability
- Complete convergence for weighted sums of END random variables and its application to nonparametric regression models
- On Complete Convergence for an Extended Negatively Dependent Sequence
- Complete convergence for arrays of rowwise negatively superadditive-dependent random variables and its applications
- Complete convergence for weighted sums of extended negatively dependent random variables
- State Observers with Random Sampling Times and Convergence Analysis of Double-Indexed and Randomly Weighted Sums of Mixing Processes
- The Strong Law of Large Numbers for Extended Negatively Dependent Random Variables
- Complete moment convergence for double-indexed randomly weighted sums and its applications
- ON THE COMPLETE CONVERGENCE FOR ARRAYS OF ROWWISE EXTENDED NEGATIVELY DEPENDENT RANDOM VARIABLES
- On Complete Convergence in Marcinkiewicz-Zygmund Type SLLN for END Random Variables and Its Applications
- Almost sure convergence for weighted sums of WNOD random variables and its applications to non parametric regression models
- Complete consistency for the estimator of nonparametric regression models based on extended negatively dependent errors
- STRONG STABILITY OF A TYPE OF JAMISON WEIGHTED SUMS FOR END RANDOM VARIABLES
- Sums of Dependent Nonnegative Random Variables with Subexponential Tails
- Some Concepts of Dependence
- Regularly varying functions
- Fixed-design regression for linear time series
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