Weak Convergence of Empirical Processes of Dependent Random Vectors Under Logarithmic Mixing Rates

Abstract

It is proved that empirical processes of ø-mixing or Ψ-mlxing random vectors conv11rge to appropriate Gaussian processes under logarithmic mixing rates. A Kiefer-type bound on the tail-probabilities of empirical processes is also obtained under the same mixing rates.