摘要

Let {Xi, Yi}(i=1)(infinity) be a set of observations from a stationary jointly associated process and theta(x) be the conditional median, that is, theta(x) = inf{y : P (Y <=, y vertical bar X = x) >= (1/)(2)). We consider the problem of estimating theta(x) based on the L-1-norm kernel and establish asymptotic normality of the resulting estimator theta(n)(x).