References
- Anderson, T. W. 1971. The statistical analysis of time series. New York: Wiley.
- Brockwell, P. J., and R. A. Davis. 2006. Time series: Theory and methods. New York: Springer-Verlag.
- Francq, C., and H. Raïssi. 2007. Multivariate portmanteau test for autoregressive models with uncorrelated but non-independent errors. Journal of Time Series Analysis 28(3):454–70.
- Francq, C., R. Roy, and J-M. Zakoïan. 2005. Diagnostic checking in ARMA models with uncorrelated errors. Journal of the American Statistical Association 100(470):532–44.
- Hannan, E. J. 1970. Multiple time series. New York: Wiley.
- Hannan, E. J. 1976. The asymptotic distribution of serial covariances. Annals of Statististics 4(2):396–99.
- Pourahmadi, M. 1999. Joint mean-covariance models with applications to longitudinal data: unconstrained parameterisation. Biometrika 86 (3):677–90.
- Pourahmadi, M. 2001. Foundations of time series analysis and prediction theory. New York: Wiley.
- Priestley, M. B. 1981. Spectral analysis and time series. London: Academic Press.
- Romano, J. L., and L. A. Thombs. 1996. Inference for autocorrelations under weak assumptions. Journal of the American Statistical Association 91(434):590–600.
- Searle, S. R. 1971. Linear models. New York: Wiley.
- Wu, W. B., and M. Pourahmadi. 2003. Nonparametric estimation of large covariance matrices of longitudinal data. Biometrika 90(4):831–44.
- Wu, W. B., and M. Pourahmadi. 2009. Banding sample autocovariance matrices of stationary processes. Statistica Sinica 19:1755–68.
- Xiao, H., and B. W. Wu. 2012. Covariance matrix estimation for stationary time series. Annals of Statistics 40 (1):466–93.