Abstract
In this article we first revisit some earlier work on fractionally differenced white noise and correct some issues with previously published formulae. We then look at vector processes and derive formula for the Autocorrelation function, which is extended in this work to a larger range of parameter values than considered elsewhere, and compare this with previously published work.
Author supplied keywords
Cite
CITATION STYLE
APA
Peiris, S., & Hunt, R. (2023). Revisiting the Autocorrelation of Long Memory Time Series Models. Mathematics, 11(4). https://doi.org/10.3390/math11040817
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
Already have an account? Sign in
Sign up for free