Large and moderate deviations principles for recursive kernel estimators of a multivariate density and its partial derivatives

Details Large and moderate deviations principles for recursive kernel estimators of a multivariate density and its partial derivatives Large and moderate deviations principles for recursive kernel estimators of a multivariate density and its partial derivatives

2006-01-18

arxiv.org/abs/math/0601429v1

Mathematics

Statistics Theory

26 pages

Scientific paper

In this paper we prove large and moderate deviations principles for the recursive kernel estimator of a probability density function and its partial derivatives. Unlike the density estimator, the derivatives estimators exhibit a quadratic behavior not only for the moderate deviations scale but also for the large deviations one. We provide results both for the pointwise and the uniform deviations.

Affiliated with

Also associated with

No associations

Rating

Large and moderate deviations principles for recursive kernel estimators of a multivariate density and its partial derivatives does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Large and moderate deviations principles for recursive kernel estimators of a multivariate density and its partial derivatives, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Large and moderate deviations principles for recursive kernel estimators of a multivariate density and its partial derivatives will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-594344