Gatto, Riccardo (2018). Saddlepoint approximation to the distribution of the total distance of the von Mises-Fisher continuous time random walk. Applied mathematics and computation, 324, pp. 285-294. Elsevier 10.1016/j.amc.2017.12.030
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This article considers the random walk over Rp with any p ≥ 2, where a particle starts at the origin and progresses stepwise with fixed step lengths and von Mises–Fisher distributed step directions. The total number of steps follows a continuous time counting process. The saddlepoint approximation to the distribution of the distance between the origin and the position of the particle at any time is derived. Despite the p-dimensionality of the random walk, the computation of the proposed saddlepoint approximation is one-dimensional and thus simple. The high accuracy of the saddlepoint approximation is illustrated by a numerical comparison with Monte Carlo simulation.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
08 Faculty of Science > Department of Mathematics and Statistics > Institute of Mathematical Statistics and Actuarial Science |
UniBE Contributor: |
Gatto, Riccardo |
Subjects: |
500 Science > 510 Mathematics |
ISSN: |
0096-3003 |
Publisher: |
Elsevier |
Language: |
English |
Submitter: |
Riccardo Gatto |
Date Deposited: |
20 May 2019 12:17 |
Last Modified: |
05 Dec 2022 15:26 |
Publisher DOI: |
10.1016/j.amc.2017.12.030 |
BORIS DOI: |
10.7892/boris.126286 |
URI: |
https://boris.unibe.ch/id/eprint/126286 |