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Computer-Aided Simulations of Gaussian Processes and Related Asymptotic Properties

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Computer Aided Systems Theory — EUROCAST 2001 (EUROCAST 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2178))

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Abstract

A parallel algorithm is implemented to simulate sample paths of stationary normal processes possessing a Butterworth-type covariance, in order to investigate asymptotic properties of the first passage time probability densities for time-varying boundaries. After a self-contained outline of the simulation procedure, computational results are included to show that for large times and for large boundaries the first passage time probability density through an asymptotically periodic boundary is exponentially distributed to an excellent degree of approximation.

This work has been performed within a joint cooperation agreement between Japan Science and Technology Corporation (JST) and Universit`a di Napoli Federico II, under partial support by National Research Council (CNR) and by Ministry of University and of Scientific and Technological Research (MURST).

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References

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© 2001 Springer-Verlag Berlin Heidelberg

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Di Nardo, E., Nobile, A.G., Pirozzi, E., Ricciardi, L.M. (2001). Computer-Aided Simulations of Gaussian Processes and Related Asymptotic Properties. In: Moreno-Díaz, R., Buchberger, B., Luis Freire, J. (eds) Computer Aided Systems Theory — EUROCAST 2001. EUROCAST 2001. Lecture Notes in Computer Science, vol 2178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45654-6_6

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  • DOI: https://doi.org/10.1007/3-540-45654-6_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42959-3

  • Online ISBN: 978-3-540-45654-4

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