On the construction of Wold-Cramér decomposition for bivariate stationary processes
Part of the Lecture Notes in Mathematics book series (LNM, volume 828)
KeywordsSpectral Measure Stationary Sequence Complex Hilbert Space Prediction Theory Stationary Stochastic Process
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- Cramér, H.: On some classes of non-stationary stochastic processes.-Proceedings of the Fourth Berkeley symposium on mathematical statistics and probability, Vol. II, pp. 57–76. University of California Press, Berkeley/Los Angeles, 1962.Google Scholar
- Masani, P.: Recent trends in multivariate prediction theory.-Multivariate Analysis I (ed. P.R. Krishnaiah), pp. 351–382. Academic Press, New York/London, 1966.Google Scholar
- Matveev, R.F.: On the regularity of one-dimensional stationary stochastic processes with discrete time.-Dokl.Akad.Nauk. SSSR 25 (1959), 277–280 (In Russian).Google Scholar
- Niemi, H.: On the construction of Wold decomposition for multivariate stationary processes.-J. Multivariate Anal. (to appear).Google Scholar
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