Complete f-moment convergence of moving average process and its application to nonparametric regression models
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Publication:5029390
DOI10.37190/0208-4147.41.2.10zbMath1493.62247OpenAlexW3208458576MaRDI QIDQ5029390
Chi Yao, Rui Wang, Ling Chen, Xue-jun Wang
Publication date: 14 February 2022
Published in: Probability and Mathematical Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.37190/0208-4147.41.2.10
widely orthant dependent random variablescomplete consistencynonparametric regression modelscomplete \(f\)-moment convergence
Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)
Related Items (2)
Complete \(f\)-moment convergence for maximal randomly weighted sums of arrays of rowwise widely orthant dependent random variables and its statistical applications ⋮ Complete f -moment convergence for weighted sums of asymptotically almost negatively associated random variables and its application in semiparametric regression models
Cites Work
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- Complete consistency of estimators for regression models based on extended negatively dependent errors
- Complete and complete moment convergence for weighted sums of widely orthant dependent random variables
- Large deviations for some weakly dependent random processes
- Fixed design regression for time series: Asymptotic normality
- Complete convergence of moving average processes
- Consistent nonparametric regression. Discussion
- Complete moment convergence for arrays of rowwise widely orthant dependent random variables
- Strong laws of large numbers for weighted sums of random elements in normed linear spaces
- Uniform asymptotics for the finite-time ruin probability of a dependent risk model with a constant interest rate
- An exponential inequality and its application to \(M\) estimators in multiple linear models
- Some convergence properties for partial sums of widely orthant dependent random variables and their statistical applications
- Complete \(f\)-moment convergence for widely orthant dependent random variables and its application in nonparametric models
- Complete \(q\)-th moment convergence and its statistical applications
- Complete \(f\)-moment convergence for extended negatively dependent random variables
- The consistency of the nearest neighbor estimator of the density function based on WOD samples
- Complete moment convergence for weighted sums of weakly dependent random variables and its application in nonparametric regression model
- On complete convergence for widely orthant-dependent random variables and its applications in nonparametric regression models
- Complete convergence for arrays of rowwise negatively superadditive-dependent random variables and its applications
- COMPLETE MOMENT CONVERGENCE OF MOVING AVERAGE PROCESSES WITH DEPENDENT INNOVATIONS
- On the convergence of moving average processes under dependent conditions
- Some general strong laws for weighted sums of stochastically dominated random variables
- Nonparametric Instrumental Variables Estimation of a Quantile Regression Model
- Some Limit Theorems for Stationary Processes
- Complete Convergence and the Law of Large Numbers
- Fixed-design regression for linear time series
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