DCovTS: Distance covariance/correlation for time series

Pitsillou, M. and Fokianos, K. (2016) DCovTS: Distance covariance/correlation for time series. The R Journal, 8 (2). pp. 324-340. ISSN 2073-4859

Full text not available from this repository.

Abstract

The distance covariance function is a new measure of dependence between random vectors. We drop the assumption of iid data to introduce distance covariance for time series. The R package dCovTS provides functions that compute and plot distance covariance and correlation functions for both univariate and multivariate time series. Additionally it includes functions for testing serial independence based on distance covariance. This paper describes the theoretical background of distance covariance methodology in time series and discusses in detail the implementation of these methods with the R package dCovTS.

Item Type:
Journal Article
Journal or Publication Title:
The R Journal
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1800/1804
Subjects:
ID Code:
127752
Deposited By:
Deposited On:
09 Oct 2018 08:08
Refereed?:
Yes
Published?:
Published
Last Modified:
23 Sep 2020 04:37