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 modifi...Show MoreMetadata
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.
Published in: IEEE Transactions on Information Theory ( Volume: 21, Issue: 4, July 1975)