Name
Title | ||
|---|---|---|
An efficient simulation algorithm for the generalized von Mises distribution of order two |
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 algorithm with 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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/s00180-011-0297-6 | Computational Statistics |
Keywords | DocType | Volume |
comparative study,Monte Carlo algorithm,exact efficient simulation algorithm,acceptance-rejection algorithm,von Neumann acceptance-rejection,generalized von,generalized von Mises distribution,Markov chain,inflexion point,generalized von Mises density,circular distribution | Journal | 28 |
Issue | ISSN | Citations |
1 | 1613-9658 | 1 |
PageRank | References | Authors |
0.37 | 2 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Samuel Pfyffer | 1 | 1 | 0.37 |
| Riccardo Gatto | 2 | 12 | 5.65 |