Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1153368 | Statistics & Probability Letters | 2008 | 10 Pages |
Abstract
In this paper, we study the kT-occupation time density estimator as an extension of the k-nearest neighbor estimator in continuous time. The rates of strong pointwise convergence for α-mixing and bounded processes in both optimal (when i.i.d. rates of density estimation are reached) and superoptimal cases (when parametric rates are reached) are established.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Boris Labrador,