Analytical and Computational Problems Related to Fractional Gaussian Noise

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Yuliya Mishura - , Kyiv National Taras Shevchenko University (Author)
  • Kostiantyn Ralchenko - , Kyiv National Taras Shevchenko University (Author)
  • René L. Schilling - , Chair of Probability Theory (Author)

Abstract

We study the projection of an element of fractional Gaussian noise onto its neighbouring elements. We prove some analytic results for the coefficients of this projection. In particular, we obtain recurrence relations for them. We also make several conjectures concerning the behaviour of these coefficients, provide numerical evidence supporting these conjectures, and study them theoretically in particular cases. As an auxiliary result of independent interest, we investigate the covariance function of fractional Gaussian noise, prove that it is completely monotone for (Formula presented.), and, in particular, monotone, convex, log-convex along with further useful properties.

Details

Original languageEnglish
Article number620
JournalFractal and Fractional
Volume6
Issue number11
Publication statusPublished - Nov 2022
Peer-reviewedYes

Keywords

Keywords

  • autocovariance function, coefficients of projection, completely monotonic function, conjecture, covariance matrix, fractional Brownian motion, fractional Gaussian noise

Library keywords