@article{EJP885,
author = {Che-Hao Chen and Michael Fuchs},
title = {On the Moment-Transfer Approach for Random Variables Satisfying a One-Sided Distributional Recurrence},
journal = {Electron. J. Probab.},
fjournal = {Electronic Journal of Probability},
volume = {16},
year = {2011},
keywords = {distributional recurrence; moment-transfer approach; central limit theorem; analysis of algorithms},
abstract = {The moment-transfer approach is a standard tool for deriving limit laws of sequences of random variables satisfying a distributional recurrence. However, so far the approach could not be applied to certain "one-sided" recurrences with slowly varying moments and normal limit law. In this paper, we propose a modified version of the moment-transfer approach which can be applied to such recurrences. Moreover, we demonstrate the usefulness of our approach by re-deriving several recent results in an almost automatic fashion.},
pages = {no. 30, 903-928},
issn = {1083-6489},
doi = {10.1214/EJP.v16-885},
url = {http://ejp.ejpecp.org/article/view/885}}