摘要

Let (T(n))(n >= 1) be a sequence random variables (rvs) of interest distributed as T. In censorship models the rv T is subject to random censoring by another rv C. We consider the problem of estimating its conditional mode function, given a vector of covariates X. Let 0(x) be the mode of the density of T given X=x. In this paper we consider a kernel estimator (0) over cap (n)(x) of 0(x) and establish its almost sure convergence with rate under an alpha-mixing condition.

  • 出版日期2011-11