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First-passage-time density and moments of the ornstein-uhlenbeck process

Published online by Cambridge University Press:  14 July 2016

Luigi M. Ricciardi*
Affiliation:
Università di Napoli
Shunsuke Sato*
Affiliation:
Osaka University
*
Dipartimento di Matematica e Applicazioni, Universitá di Napoli, Via Mezzocannone 8, 80134 Napoli, Italy.
∗∗ Department of Biophysical Engineering, Faculty of Engineering Science, Osaka University, Toyonaka, Osaka, Japan 560.

Abstract

A detailed study of the asymptotic behavior of the first-passage-time p.d.f. and its moments is carried out for an unrestricted conditional Ornstein-Uhlenbeck process and for a constant boundary. Explicit expressions are determined which include those earlier discussed by Sato [15] and by Nobile et al. [9]. In particular, it is shown that the first-passage-time p.d.f. can be expressed as the sum of exponential functions with negative exponents and that the latter reduces to a single exponential density as time increases, irrespective of the chosen boundary. The explicit expressions obtained for the first-passage-time moments of any order appear to be particularly suitable for computation purposes.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1988 

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Footnotes

Research partly carried out under CNR-JSPS Scientific Cooperation Programme, contract Nos. 84.00227.01, 85.00002.01 and under MPI financial support.

References

[1] Anderssen, K. S., De Hoog, F. R. and Weiss, R. (1973) On the numerical solution of Brownian motion processes. J. Appl. Prob. 10, 409418.Google Scholar
[2] Capocelli, R. and Ricciardi, L. M. (1971) Diffusion approximation and first passage time problem for a model neuron. Kybernetik 8, 214223.CrossRefGoogle ScholarPubMed
[3] Cerbone, G., Ricciardi, L. M. and Sacerdote, L. (1981) Mean variance and skewness of the first passage time for the Ornstein-Uhlenbeck process. Cybernet. Syst. 12, 395429.Google Scholar
[4] Durbin, J. (1971) Boundary crossing probabilities for the Brownian motion and Poisson processes and techniques for computing the power of the Kolmogorov-Smirnov test. J. Appl. Prob. 8, 431453.Google Scholar
[5] Erdélyi, A. (1953) Higher Transcendental Functions , Vols. I and II. McGraw-Hill, New York.Google Scholar
[6] Favella, L., Reineri, M. T., Ricciardi, L. M. and Sacerdote, L. (1982) First passage time problems and related computational methods. Cybernet. Syst. 13, 95128.Google Scholar
[7] Heath, R. A. (1981) A tandem random walk model for psychological discrimination. Br. J. Math. Statist. Psychol. 34, 7692.Google Scholar
[8] Montroll, E. W. and Schuler, K. E. (1958) The application of the theory of stochastic processes to chemical kinetics. Adv. Chem. Phys. 1, 361399.Google Scholar
[9] Nobile, A. G., Ricciardi, L. M. and Sacerdote, L. (1985) Exponential trends of Ornstein-Uhlenbeck first passage time densities. J. Appl. Prob. 22, 360369.Google Scholar
[10] Nobile, A. G., Ricciardi, L. M. and Sacerdote, L. (1985) Exponential trends of first-passage time densities for a class of diffusion process with steady-state distribution. J. Appl. Prob. 22, 611618.Google Scholar
[11] Ratcliff, R. (1980) A note on modelling accumulation of information when the rate of accumulation changes with time. J. Math. Psychol. 21, 178184.Google Scholar
[12] Ricciardi, L. M. (1977) Diffusion Processes and Related Topics in Biology. Lecture Notes in Biomathematics 14, Springer-Verlag, Berlin.Google Scholar
[13] Ricciardi, L. M., Sacerdote, L. and Sato, S. (1983) Diffusion approximation and first passage time problem for a model neuron. II. Outline of a computation method. Math. Biosci. 64, 2944.Google Scholar
[14] Sampath, G. and Srinivasan, S. K. (1977) Stochastic Models for Spike Trains of Single Neurons. Lecture Notes in Biomathematics 16, Springer-Verlag, Berlin.Google Scholar
[15] Sato, S. (1977) Evaluation of the first passage time probability to a square root boundary for the Wiener process. J. Appl. Prob. 14, 850856.Google Scholar
[16] Sato, S. (1978) On the moments of the firing interval of the diffusion approximated model neuron. Math. Biosci. 39, 5370.CrossRefGoogle Scholar
[17] Siegert, A. J. F. (1951) On the first passage time probability function. Phys. Rev. 81, 617623.CrossRefGoogle Scholar
[18] Weiss, G. H. and Rubin, R. J. (1983) Random walks: Theory and selected applications. Adv. Chem. Phys. 52, 365505.Google Scholar