Limit theorems for quadratic forms and related quantities of discretely sampled continuous-time moving averages

Mikkel Slot Nielsen, Jan Pedersen

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Abstract

The limiting behavior of Toeplitz type quadratic forms of stationary processes has received much attention through decades, particularly due to its importance in statistical estimation of the spectrum. In the present paper we study such quantities in the case where the stationary process is a discretely sampled continuous-time moving average driven by a Lévy process. We obtain sufficient conditions, in terms of the kernel of the moving average and the coefficients of the quadratic form, ensuring that the centered and adequately normalized version of the quadratic form converges weakly to a Gaussian limit.
Original languageEnglish
JournalESAIM: Probability & Statistics
Volume23
Pages (from-to)803-822
Number of pages20
ISSN1292-8100
DOIs
Publication statusPublished - 2019

Keywords

  • DRIVEN
  • Levy processes
  • Limit theorems
  • RANDOM-VARIABLES
  • moving averages
  • quadratic forms

Fingerprint

Dive into the research topics of 'Limit theorems for quadratic forms and related quantities of discretely sampled continuous-time moving averages'. Together they form a unique fingerprint.

Cite this