A distance-based test of independence between two multivariate time series
Author:
- 28 December 2022
- journal article
- research article
- Published by Elsevier in Journal of Multivariate Analysis
- Vol. 195
Abstract
No abstract availableKeywords
Funding Information
- Natural Sciences and Engineering Research Council of Canada (RGPIN-2020-04161)
This publication has 41 references indexed in Scilit:
- Dynamic Orthogonal Components for Multivariate Time SeriesJournal of the American Statistical Association, 2011
- Law of the iterated logarithm for stationary processesThe Annals of Probability, 2008
- Diagnostic Checking in ARMA Models With Uncorrelated ErrorsJournal of the American Statistical Association, 2005
- A forecast comparison of volatility models: does anything beat a GARCH(1,1)?Journal of Applied Econometrics, 2005
- Identification of Non-Linear Additive Autoregressive ModelsJournal of the Royal Statistical Society Series B: Statistical Methodology, 2004
- Hypothesis Testing in Time Series via the Empirical Characteristic Function: A Generalized Spectral Density ApproachJournal of the American Statistical Association, 1999
- Testing for independence between two covariance stationary time seriesBiometrika, 1996
- Inference for Autocorrelations under Weak AssumptionsJournal of the American Statistical Association, 1996
- A Method for Testing the Independence of Two Time Series That Accounts for a Potential Pattern in the Cross-Correlation FunctionJournal of the American Statistical Association, 1986
- Checking the Independence of Two Covariance-Stationary Time Series: A Univariate Residual Cross-Correlation ApproachJournal of the American Statistical Association, 1976