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Uniform-in-bandwidth kernel estimation for censored data
We present a sharp uniform-in-bandwidth functional limit law for the increments of the Kaplan-Meier empirical process based upon right-censored random data. We apply... -
Uniform-in-Bandwidth Nearest-Neighbor Density Estimation
We present a new sharp uniform-in-bandwidth limit law for the nearest-neighbor density estimator. Our result is established in the framework of convergence in... -
Functional limit laws for empirical processes and applications
In this thesis, we are concerned with nonparametric estimation of the density given a random sample. We establish asymptotic properties of density estimators by... -
Understanding Convergence Concepts: a Visual-Minded and Graphical Simulation-...
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