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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Di Nardo, E., Nobile, A.G., Pirozzi, E., Ricciardi, L.M., Rinaldi, S.: Simulation of Gaussian processes and first passage time densities evaluation. Lecture Notes in Computer Science. 1798 (2000) 319–333.
Giorno, V., Nobile, A.G., Ricciardi, L.M.: On the asymptotic behavior of firstpassage-time densities for one-dimensional diffusion processes and varying boundaries. Adv. Appl. Prob. 22 (1990) 883–914.
Nobile, A.G., Ricciardi, L.M., Sacerdote, L.: Exponential trends of Ornstein-Uhlenbeck first passage time densities. J. Appl. Prob. 22 (1985) 360–369.
Nobile, A.G., Ricciardi, L.M., Sacerdote, L.: Exponential trends of first-passagetime densities for a class of diffusion processes with steady-state distribution. J. Appl. Prob. 22 (1985) 611–618.
Ricciardi, L.M.: Diffusion Processes and Related Topics in Biology. Springer-Verlag. New York. (1977)
Ricciardi, L.M, Di Crescenzo, A., Giorno, V., Nobile A.G.: An outline of theoretical and algorithmic approaches to first passage time problems with applications to biological modeling. Math. Japonica. 50, No. 2(1999), 247–322.
Ricciardi, L.M., Sato, S.: On the evaluation of first-passage-time densities for Gaussian processes. Signal Processing. 11 (1986) 339–357.
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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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