This paper studies the effect of bias correction on confidence interval estimators in the context of kernel-based nonparametric density estimation. We consider explicit plug-in bias correction but, in contrast to standard approaches, we allow the bias estimator to (potentially) have a first-order impact on the distributional approximation. This approach is meant to more accurately capture the f...
