This paper contains a general dependent extension of Doob's inequality for martingales, $E(\max_{i\leqq n} S_i^2) \leqq 4ES_n^2$. This inequality is then used to extend the martingale convergence theorem for $L_2$ bounded variables, and to prove strong laws under dependent assumptions. Strong and $\varphi$-mixing variables are shown to satisfy the conditions of these theorems and hence strong laws are proved as well for these.
@article{1176996269,
author = {McLeish, D. L.},
title = {A Maximal Inequality and Dependent Strong Laws},
journal = {Ann. Probab.},
volume = {3},
number = {6},
year = {1975},
pages = { 829-839},
language = {en},
url = {http://dml.mathdoc.fr/item/1176996269}
}
McLeish, D. L. A Maximal Inequality and Dependent Strong Laws. Ann. Probab., Tome 3 (1975) no. 6, pp. 829-839. http://gdmltest.u-ga.fr/item/1176996269/