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Prediction theory for non-stationary sequences of random vectors

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Probability Theory on Vector Spaces

Part of the book series: Lecture Notes in Mathematics ((LNM,volume 656))

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References

  1. Abreu, J.L., H-valued generalized functions and orthogonally scattered measures. Advances in Math. 19 (1976), 382–412

    Article  MathSciNet  MATH  Google Scholar 

  2. Cramér, H., On some classes of non-stationary stochastic processes. In Proceedings of the Fourth Berkeley symposium on mathematical statistics and probability. II, pp.57–58. University of California Press, Berkeley 1962.

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  3. Deo, D.M, Prediction theory of non-stationary processes. Sankhya Ser. A 27 (1965), 113–132.

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  4. Dudley, R.M., Prediction theory for non-stationary sequences. Proceedings of the Fifth Berkeley symposium on mathematical statistics and probability. II: 1, pp.223–234. University of California Press, Berkeley, 1967.

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  5. Masani, P., The prediction theory of multivariate stochastic processes, III. Acta Math. 104 (1960), 141–162.

    Article  MathSciNet  MATH  Google Scholar 

  6. Rozanov, Yu. A., Stationary random processes. English translation. Holden-Day series in time series analysis. Holden-Day, San Francisco, 1967.

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  7. Schwartz, L., Théorie des distribution. Nouvelle édition. Hermann, Paris, 1966.

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  8. Wiener, N., and P. Masani, The prediction theory of multivariate stochastic processes, Part I. Acta Math. 98 (1957), 111–150; Part II. Acta Math. 99 (1958), 93–137.

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Author information

Authors and Affiliations

  1. Department of Mathematics, University of Helsinki, SF-00100, Helsinki 10, Finland

    Hannu Niemi

Authors
  1. Hannu Niemi
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A. Weron

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© 1978 Springer-Verlag

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Niemi, H. (1978). Prediction theory for non-stationary sequences of random vectors. In: Weron, A. (eds) Probability Theory on Vector Spaces. Lecture Notes in Mathematics, vol 656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0068819

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  • DOI: https://doi.org/10.1007/BFb0068819

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-08846-2

  • Online ISBN: 978-3-540-35814-5

  • eBook Packages: Springer Book Archive

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