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Radon-Nikodym derivatives, passages and maxima for a Gaussian process with particular covariance and mean

Published online by Cambridge University Press:  14 July 2016

Israel Bar-David*
Affiliation:
Technion—Israel Institute of Technology, Haifa, Israel

Abstract

We find expressions for the R–N derivative of the stationary Gaussian process with the particular covariance and mean, respectively, R(t, s) = max(1 – |t – s|, 0) and m(t)= aR(t, D), 0 ≦ D ≦ 1, within the time interval [0, 1]. We use these results, and a lemma on multiple reflections of the Wiener process, to find formulae for the probabilities of first passage time and maxima in [0, 1], and bounds on the former within [– 1, 1]. While previous work dealt extensively with the zero mean process, mean functions, as defined here, appear in signal detection and parameter estimation problems under the hypothesis that a rectangular signal centered at t = D is present in an observed process.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1975 

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References

[1] Ein-Gal, M. and Bar-David, I. (1975) Passages and maxima for a particular Gaussian process. Ann. Prob. 3, 18.CrossRefGoogle Scholar
[2] Nicholson, C. (1943) The probability integral for two variables. Biometrika 33, 5972.CrossRefGoogle Scholar
[3] Shepp, L. A. (1966) Radon-Nikodym derivatives of Gaussian measures. Ann. Math. Statist. 37, 321354.CrossRefGoogle Scholar
[4] Shepp, L. A. (1971) First passage time for a particular Gaussian process. Ann. Math. Statist. 42, 946951.CrossRefGoogle Scholar
[5] Slepian, D. (1961) First passage time for a particular Gaussian process. Ann. Math. Statist. 32, 610612.CrossRefGoogle Scholar
[6] Wong, E. (1971) Stochastic Processes in Information and Dynamical Systems. McGraw-Hill, New York. 109.Google Scholar
[7] Zakai, M. and Ziv, J. (1969) On the threshold effect in radar range estimation. I.E.E.E. Trans. Information Theory IT–15, 167170.CrossRefGoogle Scholar