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  1. A Berry-Ess$\acute{e}$n bound of wavelet estimation for a nonparametric regression model under linear process errors based on LNQD sequence
  2. Asymptotic properties of wavelet estimators in heteroscedastic semiparametric model based on negatively associated innovations
  3. Composite quantile regression for massive datasets
  4. Uniformly asymptotic normality of sample quantiles estimator for linearly negative quadrant dependent samples
  5. Strong laws of large numbers and mean convergence theorems for randomly weighted sums of arrays under a condition of integrability
  6. Strong Convergence Properties for Asymptotically Almost Negatively Associated Sequence
  7. Convergence of randomly weighted sums for arrays under a condition of integrability