Fractional Edgeworth expansions for one-dimensional heavy-tailed random variables and applications

Leandro Chiarini Medeiros, Milton Jara, Wioletta Ruszel

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

In this article, we study a class of lattice random variables in the domain of attraction of an α-stable random variable with index α ∈ (0, 2) which satisfy a truncated fractional Edgeworth expansion. Our results include studying the class of such fractional Edgeworth expansions under simple operations, providing concrete examples; sharp rates of convergence to an α-stable distribution in a local central limit theorem; Green’s function expansions; and finally fluctuations of a class of discrete stochastic PDE’s driven by the heavy-tailed random walks belonging to the class of fractional Edgeworth expansions.

Original languageEnglish
Article number108
Pages (from-to)1-42
Number of pages42
JournalElectronic Journal of Probability
Volume28
DOIs
Publication statusPublished - 29 Aug 2023

Keywords

  • discrete stochastic linear stochastic equations
  • fluctuations
  • fractional Edgeworth expansion
  • heavy-tailed random walks
  • local central limit theorem
  • potential kernel
  • stable distributions

Fingerprint

Dive into the research topics of 'Fractional Edgeworth expansions for one-dimensional heavy-tailed random variables and applications'. Together they form a unique fingerprint.

Cite this