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Optimal Transformations for Prediction in Continuous-Time Stochastic Processes

  • B. Gidas
  • A. Murua
Part of the Trends in Mathematics book series (TM)

Abstract

In the classical Wiener-Kolmogorov prediction problem, one fixes a functional of the “future” and seeks its best predictor (in the L 2-sense). In this paper we treat a variant of this problem, whereby we seek the “most predictable” non-trivial functional of the future and its best predictor. In contrast to the Wiener-Kolmogorov problem, our problem may not have solutions, and if solutions exist, they might not be unique. We prove the existence of solutions for linear functionals under appropriate conditions on the spectral function of weakly stationary, continuous-time processes.

Keywords

Spectral Function Hardy Space Toeplitz Operator Inverse Fourier Transform Trace Class 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1998

Authors and Affiliations

  • B. Gidas
    • 1
  • A. Murua
    • 2
  1. 1.Division of Applied MathematicsBrown UniversityProvidenceUSA
  2. 2.Department of StatisticsThe University of ChicagoChicagoUSA

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