Abstract
Let X be a Levy process with regularly varying Levy measure ν. We obtain sample-path large deviations for scaled processes. Xn(t) X(nt)/n and obtain a similar result for random walks with regularly varying increments. Our results yield detailed asymptotic estimates in scenarios where multiple big jumps in the increment are required to make a rare event happen; we illustrate this through detailed conditional limit theorems. In addition, we investigate connections with the classical large deviations framework. In that setting, we show that a weak large deviation principle (with logarithmic speed) holds, but a full large deviation principle does not hold.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 3551-3605 |
| Number of pages | 55 |
| Journal | Annals of Probability |
| Volume | 47 |
| Issue number | 6 |
| DOIs | |
| State | Published - 2019 |
Funding
Supported by an NWO VICI grant. Supported by NSF Grants DMS-0806145/0902075, CMMI-0846816 and CMMI-1069064. MSC2010 subject classifications. Primary 60F10, 60G17; secondary 60B10.
Keywords
- Lévy processes
- M-convergence
- Regular variation
- Sample path large deviations
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty