Let $\{X_n\}$ be, for example, a weakly stationary sequence or a lacunary system with finite $p$th moment, $1 \leq p \leq 2$, and let $\{a_n\}$ be a sequence of scalars. We obtain here conditions which ensure the almost sure convergence of the series $\sum a_nX_n$. When $\{X_n\}$ is an orthonormal sequence, the classical Rademacher-Menchov theorem is recovered. This is then applied to study the strong consistency of least squares estimates in multiple regression models.
@article{1176988180,
author = {Houdre, Christian},
title = {On the Almost Sure Convergence of Series of Stationary and Related Nonstationary Variables},
journal = {Ann. Probab.},
volume = {23},
number = {3},
year = {1995},
pages = { 1204-1218},
language = {en},
url = {http://dml.mathdoc.fr/item/1176988180}
}
Houdre, Christian. On the Almost Sure Convergence of Series of Stationary and Related Nonstationary Variables. Ann. Probab., Tome 23 (1995) no. 3, pp. 1204-1218. http://gdmltest.u-ga.fr/item/1176988180/