An Elegant Method for Generating Multivariate Poisson Random Variable
| dc.creator | Yahav, Inbal | |
| dc.creator | Shmueli, Galit | |
| dc.date | 2007-10-30 | |
| dc.date | 2008-03-12 | |
| dc.date.accessioned | 2026-07-07T09:26:04Z | |
| dc.date.available | 2026-07-07T09:26:04Z | |
| dc.description | Generating multivariate Poisson data is essential in many applications. Current simulation methods suffer from limitations ranging from computational complexity to restrictions on the structure of the correlation matrix. We propose a computationally efficient and conceptually appealing method for generating multivariate Poisson data. The method is based on simulating multivariate Normal data and converting them to achieve a specific correlation matrix and Poisson rate vector. This allows for generating data that have positive or negative correlations as well as different rates. | |
| dc.description | 11 pages, 11 figures | |
| dc.identifier | https://arxiv.org/abs/0710.5670 | |
| dc.identifier | http://arxiv.org/abs/0710.5670 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/156623 | |
| dc.subject | Computation | |
| dc.title | An Elegant Method for Generating Multivariate Poisson Random Variable | |
| dc.type | text |