10 citations · 10 across the 3 of their papers we have counts for
3 papers
stat.ME2017
Improved Density and Distribution Function Estimation
Vitaliy Oryshchenko, Richard J. Smith
Given additional distributional information in the form of moment restrictions, kernel density and distribution function estimators with implied generalised empirical likelihood pr…
stat.ME2016
Indirect Maximum Entropy Bandwidth
Vitaliy Oryshchenko
This paper proposes a new method of bandwidth selection in kernel estimation of density and distribution functions motivated by the connection between maximisation of the entropy o…
stat.ME2016★ 10 cited
Exact mean integrated squared error and bandwidth selection for kernel distribution function estimators
Vitaliy Oryshchenko
An exact, closed form, and easy to compute expression for the mean integrated squared error (MISE) of a kernel estimator of a normal mixture cumulative distribution function is der…