Even faster and even more accurate first-passage time densities and distributions for the Wiener diffusion model

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Even faster and even more accurate first-passage time densities and distributions for the Wiener diffusion model. / Gondan, Matthias; Blurton, Steven Paul; Kesselmeier, Miriam.

I: Journal of Mathematical Psychology, Bind 60, 2014, s. 20-22.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Gondan, M, Blurton, SP & Kesselmeier, M 2014, 'Even faster and even more accurate first-passage time densities and distributions for the Wiener diffusion model', Journal of Mathematical Psychology, bind 60, s. 20-22. https://doi.org/10.1016/j.jmp.2014.05.002

APA

Gondan, M., Blurton, S. P., & Kesselmeier, M. (2014). Even faster and even more accurate first-passage time densities and distributions for the Wiener diffusion model. Journal of Mathematical Psychology, 60, 20-22. https://doi.org/10.1016/j.jmp.2014.05.002

Vancouver

Gondan M, Blurton SP, Kesselmeier M. Even faster and even more accurate first-passage time densities and distributions for the Wiener diffusion model. Journal of Mathematical Psychology. 2014;60:20-22. https://doi.org/10.1016/j.jmp.2014.05.002

Author

Gondan, Matthias ; Blurton, Steven Paul ; Kesselmeier, Miriam. / Even faster and even more accurate first-passage time densities and distributions for the Wiener diffusion model. I: Journal of Mathematical Psychology. 2014 ; Bind 60. s. 20-22.

Bibtex

@article{ebba37159c044f66b1d62cec95fe6039,
title = "Even faster and even more accurate first-passage time densities and distributions for the Wiener diffusion model",
abstract = "The Wiener diffusion model with two absorbing barriers is often used to describe response times and error probabilities in two-choice decisions. Different representations exist for the density and cumulative distribution of first-passage times, all including infinite series, but with different convergence for small and large times. We present a method that controls the approximation error of the small-time representation that occurs due to finite truncation of these series. Our approach improves and simplifies related work by Navarro and Fuss (2009) and Blurton et al. (2012, both in the Journal of Mathematical Psychology).",
author = "Matthias Gondan and Blurton, {Steven Paul} and Miriam Kesselmeier",
year = "2014",
doi = "10.1016/j.jmp.2014.05.002",
language = "English",
volume = "60",
pages = "20--22",
journal = "Journal of Mathematical Psychology",
issn = "0022-2496",
publisher = "Academic Press",

}

RIS

TY - JOUR

T1 - Even faster and even more accurate first-passage time densities and distributions for the Wiener diffusion model

AU - Gondan, Matthias

AU - Blurton, Steven Paul

AU - Kesselmeier, Miriam

PY - 2014

Y1 - 2014

N2 - The Wiener diffusion model with two absorbing barriers is often used to describe response times and error probabilities in two-choice decisions. Different representations exist for the density and cumulative distribution of first-passage times, all including infinite series, but with different convergence for small and large times. We present a method that controls the approximation error of the small-time representation that occurs due to finite truncation of these series. Our approach improves and simplifies related work by Navarro and Fuss (2009) and Blurton et al. (2012, both in the Journal of Mathematical Psychology).

AB - The Wiener diffusion model with two absorbing barriers is often used to describe response times and error probabilities in two-choice decisions. Different representations exist for the density and cumulative distribution of first-passage times, all including infinite series, but with different convergence for small and large times. We present a method that controls the approximation error of the small-time representation that occurs due to finite truncation of these series. Our approach improves and simplifies related work by Navarro and Fuss (2009) and Blurton et al. (2012, both in the Journal of Mathematical Psychology).

U2 - 10.1016/j.jmp.2014.05.002

DO - 10.1016/j.jmp.2014.05.002

M3 - Journal article

VL - 60

SP - 20

EP - 22

JO - Journal of Mathematical Psychology

JF - Journal of Mathematical Psychology

SN - 0022-2496

ER -

ID: 111026778