Invariance principles under weak dependence
The aim of this paper is to give a functional form for the central limit theorem obtained by Bradley for strong mxing sequences of random variables, under a certain assumption about the size of the maximal coefficients of correlations. The convergence of the moments of order 2 + [delta] in the central limit theorem for this class of random variables is also obtained.
Year of publication: |
1986
|
---|---|
Authors: | Peligrad, Magda |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 19.1986, 2, p. 299-310
|
Publisher: |
Elsevier |
Keywords: | maximal correlation strong mixing convergence of partial sum processes to Brownian motion |
Saved in:
Saved in favorites
Similar items by person
-
A local limit theorem for linear random fields
Fortune, Timothy, (2020)
-
On kernel estimators of density for reversible Markov chains
Longla, Martial, (2015)
-
Banna, Marwa, (2015)
- More ...