An efficient simulation algorithm for the generalized von Mises distribution of order two
Version
Published
Date Issued
2013
Author(s)
Gatto, Riccardo
Type
Article
Language
English
Abstract
In this article we propose an exact efficient simulation algorithm for the
generalized von Mises circular distribution of order two. It is an acceptance-rejection
algorithmwith a piecewise linear envelope based on the local extrema and the inflexion
points of the generalized von Mises density of order two. We show that these points
can be obtained from the roots of polynomials and degrees four and eight, which can
be easily obtained by the methods of Ferrari and Weierstrass. A comparative study
with the von Neumann acceptance-rejection, with the ratio-of-uniforms and with a
Markov chain Monte Carlo algorithms shows that this new method is generally the
most efficient.
generalized von Mises circular distribution of order two. It is an acceptance-rejection
algorithmwith a piecewise linear envelope based on the local extrema and the inflexion
points of the generalized von Mises density of order two. We show that these points
can be obtained from the roots of polynomials and degrees four and eight, which can
be easily obtained by the methods of Ferrari and Weierstrass. A comparative study
with the von Neumann acceptance-rejection, with the ratio-of-uniforms and with a
Markov chain Monte Carlo algorithms shows that this new method is generally the
most efficient.
Subjects
QA Mathematics
Publisher DOI
Journal
Computational Statistics
ISSN
0943-4062
Organization
Volume
28
Issue
1
Submitter
Pfyffer, Samuel
Citation apa
Pfyffer, S., & Gatto, R. (2013). An efficient simulation algorithm for the generalized von Mises distribution of order two. In Computational Statistics (Vol. 28, Issue 1). https://doi.org/10.24451/arbor.13056
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