Abstract :
This paper presents a set of rate of uniform consistency results for kernel estimators
of density functions and regressions functions+ We generalize the existing
literature by allowing for stationary strong mixing multivariate data with infinite
support, kernels with unbounded support, and general bandwidth sequences+ These
results are useful for semiparametric estimation based on a first-stage nonparametric
estimator+
