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Theory of Probability and Mathematical Statistics

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Cross-correlogram estimators of impulse response functions


Authors: Yu. V. Kozachenko and I. V. Rozora
Translated by: S. Kvasko
Journal: Theor. Probability and Math. Statist. 93 (2016), 79-91
MSC (2010): Primary 62M20, 60E15
DOI: https://doi.org/10.1090/tpms/995
Published electronically: February 7, 2017
MathSciNet review: 3553441
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Abstract | References | Similar Articles | Additional Information

Abstract: The integral cross-correlogram estimator of the response function for a linear homogeneous system is considered in this paper. An upper bound for the tail of the distribution of the supremum of the estimation error is found. In the proof, we use some properties of square-Gaussian stochastic processes.


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References
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Additional Information

Yu. V. Kozachenko
Affiliation: Department of Probability Theory, Statistics, and Actuarial Mathematics, Faculty for Mechanics and Mathematics, National Taras Shevchenko University, Academician Glushkov Avenue, 6, Kyiv 03127, Ukraine
Email: yvk@univ.kiev.ua

I. V. Rozora
Affiliation: Department of Applied Statistics, Faculty for Cybernetics, National Taras Shevchenko University, Academician Glushkov Avenue, 6, Kyiv 03127, Ukraine
Email: irozora@bigmir.net

Keywords: Correlogram, impulse response function, large deviation probabilities
Received by editor(s): July 9, 2015
Published electronically: February 7, 2017
Additional Notes: The paper was prepared following the talk at the International Conference “Probability, Reliability and Stochastic Optimization (PRESTO-2015)” held in Kyiv, Ukraine, April 7–10, 2015
Article copyright: © Copyright 2017 American Mathematical Society