The sinc kernel density estimator is superior to common alternatives in finite-sample accuracy, asymptotics for densities with only one derivative, and bandwidth selection convenience.
(1996).Local polynomial modelling and its applications.Monograps on Statistics and Applied Probability
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.ST 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Density Estimation Using the Sinc Kernel
The sinc kernel density estimator is superior to common alternatives in finite-sample accuracy, asymptotics for densities with only one derivative, and bandwidth selection convenience.