Stochastic Equicontinuity in Nonlinear Time Series Models
  In this paper I provide simple and easily verifiable conditions under which a strong form of stochastic equicontinuity holds in a wide variety of modern time series models. In contrast to most results currently available in the literature, my methods avoid mixing conditions. I discuss several applications in detail. 
Andreas Hagemann
math.ST stat.TH