Hostname: page-component-586b7cd67f-r5fsc Total loading time: 0 Render date: 2024-11-28T00:21:29.273Z Has data issue: false hasContentIssue false

Construction of first-passage-time densities for a diffusion process which is not necessarily time-homogeneous

Published online by Cambridge University Press:  14 July 2016

R. Gutiérrez Jáimez
Affiliation:
Universidad de Granada
A. Juan Gonzalez
Affiliation:
Universidad de Granada
P. Román Román*
Affiliation:
Universidad de Granada
*
Postal address for all authors: Department de Estadistica e Investigación Operativa, Universidad de Granada, Campus de Fuente Nueva, 18071 Granada, Spain.

Abstract

In Giorno et al. (1988) a new method for constructing first-passage-time probability density functions is outlined. This rests on the possibility of constructing the transition p.d.f. of a new time-homogeneous diffusion process in terms of a preassigned transition p.d.f. without making use of the classical space-time transformations of the Kolmogorov equation (Ricciardi (1976)).

In the present paper we give an extension of this result to the case of a diffusion process X(t) which is not necessarily time-homogeneous, and a few examples are presented.

Type
Short Communications
Copyright
Copyright © Applied Probability Trust 1991 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Giorno, V., Nobile, A. G. and Ricciardi, L. M. (1988) A new approach to the construction of first-passage-time densities. Cybernet. Syst. 88, 375381.Google Scholar
[2] Ricciardi, L. M. (1976) On the transformation of diffusion processes into the Wiener process. J. Math. Anal. Appl. 54, 185199.10.1016/0022-247X(76)90244-4Google Scholar
[3] Ricciardi, L. M. (1977) Diffusion Processes and Related Topics in Biology. Lecture Notes in Biomathematics 14, Springer-Verlag, Berlin.10.1007/978-3-642-93059-1Google Scholar