References


Anderson, B. D. O. and Moore, J. B. (1979). Optimal Filtering. Englewood Cliffs (N.J.): Prentice Hall.

Ansley, C. F. and Newbold, P. (1980). Finite sample properties of estimators for autorregresion moving average models. Journal of Econometrics, 13:159–183.

Aoki, M. (1990). State Space Modelling of Time Series. Springer Verlag, New York.

Casals, J., Sotoca, S., and Jerez, M. (1999). A fast stable method to compute the likelihood of time invariant state space models. Economics Letters, 65(3):329–337.

Chui, N. L. C. (1997). Subspace Methods and Informative Experiments for System Identification. PhD thesis, Pembroke College Cambridge.

Dufour, J. M. and Pelletier, D. (2004). Linear estimation of weak varma models with macroeconomic applications. Technical report, Centre Interuniversitaire de Recherche en Economie Quantitative (CIREQ), Universit´e de Montr´eal, CANADA.

Favoreel, W., De Moor, B., and Van Overschee, P. (2000). Subspace state space system identification for industrial processes. Journal of Process Control, 10:149–155.

Flores, R. and Serrano, G. (2002). A generalized least squares estimation method for varma models. Statistics, 36(4):303–316.

Francq, C. and Zako¨ıan, J. M. (2000). Estimating weak garch representations. Econometric Theory, 16:692–728.

Harvey, A. C. (1989). Forecasting, structural time series models and th Kalman Filter. Cambridge University Press.

Harvey, A. C., Ruiz, E., and Shepard, N. (1994). Multivariate stochastic variance models. Review of Economic Studies, 61:247–264.

Harvey, A. C. and Shepard, N. (1993). Structural Time Series Models, volume 11 of Handbook of Statistics. Elsevier Science Publishers B.V.

Ho, B. and Kalman, R. (1966). Effective construction of linear state-variable models from input-output functions. Regelungstechnik, 14:545–548.

Koreisha, S. G. and Pukkila, T. H. (1989). Fast linear estimation methods for vector autorregresive moving average models. Journal of Time Series Analysis, 10:325–339.

Koreisha, S. G. and Pukkila, T. H. (1990). A generalized least-squares approach for estimation of autorregresive moving-average models. Journal of Time Series Analysis, 11:139–151.

Ljung, L. (1999). System Identification, Theory for the User. PTR Prentice Hall.

Lütkepohl, H. and Poskitt, D. S. (1996). Specification of echelon form varma models. Journal of Business and Economic Statistics, 14(1):69–79.

Peternell, K., Sherrer, W., and Deistler, M. (1996). Statistical analysis of novel subspace identification methods. Signal Processing, 52:161–177.

Spliid, H. (1983). A fast estimation method for the vector autoregressive moving average model with exogenous variables. Journal of the American Statistical Association, 78(384):843–849.

Terceiro, J. (1990). Estimation of Dynamics Econometric Models with Errors in Variables. Springer-Verlag, Berlin.

Van Overschee, P. and De Moor, B. (1996). Subspace Identification for Linear Systems: Theory, Implementation, Applications. Kluwer Academic, Dordrecht, The Netherlands.

Viberg, M. (1995). Subspace-based methods for the identification of the linear time-invariant systems.  Automatica, 31(12):1835–1852.