Publication
Annals of Probability
Paper
Large deviations for random walks under subexponentiality: The big-jump domain
Abstract
For a given one-dimensional random, walk {Sn} with a subexponential step-size distribution, we present a unifying theory to study the sequences {xn} for which P{Sn > x} ∼ nP{S 1 x} as n → ∞ uniformly for x ≥ xn. We also investigate the stronger "local" analogue, P{Sn ∈ (x, x + T]} ∈ nP{S1 ∈ (x, x + T]}. Our theory is self-contained and fits well within classical results on domains of (partial) attraction and local limit theory. When specialized to the most important subclasses of subexponential distributions that have been studied in the literature, we reproduce known theorems and we supplement them with new results. © 2008 Institute of Mathematical Statistics.