Title :
Nonparametric estimates of probability densities
Author :
Wagner, Terry J.
fDate :
7/1/1975 12:00:00 AM
Abstract :
A disadvantage of the kernel estimate of a probability density is that the degree of smoothing about the observation points is chosen without regard to the data. A modification of the kernel estimate is proposed that allows the data to play a role in this smoothing and, at the same time, retains the desirable features of the kernel estimate.
Keywords :
Nonparametric estimation; Probability functions; Kernel; Probability; Random variables; Smoothing methods; Statistics;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.1975.1055408
