1991
DOI: 10.1080/15326349108807200
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The one-sided barrier problem for an integrated ornstein-uhlenbeck process

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Cited by 19 publications
(13 citation statements)
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“…It is not clear why the two-barrier model fits better than the one-barrier model. It may be because the Hesse (1991) solution is only an approximation, which overestimates the mass in the distribution tail slightly under some conditions (see Hesse, 1991, Figures 1-4).…”
Section: Tablementioning
confidence: 96%
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“…It is not clear why the two-barrier model fits better than the one-barrier model. It may be because the Hesse (1991) solution is only an approximation, which overestimates the mass in the distribution tail slightly under some conditions (see Hesse, 1991, Figures 1-4).…”
Section: Tablementioning
confidence: 96%
“…However, one useful result was obtained by Hesse (1991), who derived an analytic approximation to the first-passage-time density for an integrated OU process through a single absorbing barrier. Although this is a simpler problem than the one we have been considering here, it is nevertheless interesting, because it provides a way to study the properties of the integrated OU process when a barrier is present.…”
Section: First-passage-time Properties Of the Integrated Ou Processmentioning
confidence: 98%
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“…Unlike the Wiener process, there are few closed-form, first-passage-time results known for the integrated OU process. Smith (2000) investigated the first-passage-time properties of a single-barrier process using a rational approximation derived by Hesse (1991) and of a two-barrier process using Monte-Carlo simulation. For barriers of both kinds, he showed that families of RT distributions for an integrated OU process were well approximated by a Wiener diffusion model.…”
Section: Introduction: the Poisson Shot Noise Model Of Choice Responsmentioning
confidence: 99%
“…An important special case of the system defined by Eqs. A number of papers have been published on first-passage problems for integrated processes (see, e.g., Hesse [5], Lachal [8], Lefebvre [9,10]). Then, under appropriate smoothness conditions on the functions / a n d a (see, e.g., Arnold [2, p. 152]), the j>(0 process is a diffusion process.…”
Section: Dy(t) =F(x(t)y(t)) Dt + O(x(t)y(t)) Dw(t)mentioning
confidence: 99%