Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1151416 | Statistics & Probability Letters | 2015 | 9 Pages |
Abstract
In this paper we investigate the kernel estimator of the density for a stationary reversible Markov chain. The proofs are based on a new central limit theorem for a triangular array of reversible Markov chains obtained under conditions imposed to covariances, which has interest in itself.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Martial Longla, Magda Peligrad, Hailin Sang,