Weak consistency for the nonparametric kernel regression estimator based on negatively associated random errors

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Asymptotic normality of conditional density estimation with left-truncated and dependent data
Robust nonparametric kernel regression estimator
On complete convergence in Marcinkiewicz-Zygmund type SLLN for negatively associated random variables
Complete consistency of estimators for regression models based on extended negatively dependent errors
Exponential inequality for negatively associated random variables
Non-parametric estimation of the average growth curve with a general non-stationary error process
Consistent nonparametric multiple regression for dependent heterogeneous processes: the fixed design case
Consistent regression estimation with fixed design points under dependence conditions
Fixed design regression for time series: Asymptotic normality
Consistent nonparametric regression. Discussion
Moment inequalities and weak convergence for negatively associated sequences
A comparison theorem on moment inequalities between negatively associated and independent random variables
Negative association of random variables, with applications
Strong convergence properties for weighted sums of \(m\)-asymptotic negatively associated random variables and statistical applications
Almost sure local central limit theorem for the product of some partial sums of negatively associated sequences
Complete convergence for moving average processes associated to heavy-tailed distributions and applications
Applications of the Rosenthal-type inequality for negatively superadditive dependent random variables
The effect of the regularity of the error process on the performance of kernel regression estimators
On complete convergence for widely orthant-dependent random variables and its applications in nonparametric regression models
Complete consistency of the estimator of nonparametric regression model under ND sequence
Asymptotic properties for estimates of nonparametric regression models based on negatively associated sequences
Versions of Kernel-Type Regression Estimators
COMPLETE MOMENT CONVERGENCE FOR ARRAYS OF ROWWISE NEGATIVELY ASSOCIATED RANDOM VARIABLES AND ITS APPLICATION IN NON-PARAMETRIC REGRESSION MODEL
Weak convergence for weighted sums of negatively associated random variables and its application in nonparametric regression models
THE CONSISTENCY FOR THE WEIGHTED ESTIMATOR OF NON-PARAMETRIC REGRESSION MODEL BASED ON WIDELY ORTHANT-DEPENDENT ERRORS
Fixed-design regression for linear time series
Fixed-design regression for linear time series
A functional central limit theorem for asymptotically negatively dependent random fields

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