Generating random variates from a bicompositional Dirichlet distribution
(2009)- Abstract
- A composition is a vector of positive components summing to a constant. The sample space of a composition is the simplex and the sample space of two compositions, a bicomposition, is a Cartesian product of two simplices. We present a way of generating random variates from a bicompositional Dirichlet distribution defined on the Cartesian product of two simplices using the rejection method. We derive a general solution for finding a dominating density function and a rejection constant, and also compare this solution to using a uniform dominating density function. Finally some examples of generated bicompositional random variates, with varying number of components.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1580934
- author
- Bergman, Jakob
LU
- organization
- publishing date
- 2009
- type
- Working paper/Preprint
- publication status
- published
- subject
- keywords
- composition, Dirichlet distribution, bicompositional Dirichlet distribution, random variate generation, rejection method, simplex
- pages
- 10 pages
- publisher
- Department of Statistics, Lund university
- language
- English
- LU publication?
- yes
- id
- 835138bf-2ca3-40b6-8efc-10397897f4ae (old id 1580934)
- date added to LUP
- 2016-04-04 11:13:58
- date last changed
- 2025-04-04 14:43:28
@misc{835138bf-2ca3-40b6-8efc-10397897f4ae, abstract = {{A composition is a vector of positive components summing to a constant. The sample space of a composition is the simplex and the sample space of two compositions, a bicomposition, is a Cartesian product of two simplices. We present a way of generating random variates from a bicompositional Dirichlet distribution defined on the Cartesian product of two simplices using the rejection method. We derive a general solution for finding a dominating density function and a rejection constant, and also compare this solution to using a uniform dominating density function. Finally some examples of generated bicompositional random variates, with varying number of components.}}, author = {{Bergman, Jakob}}, keywords = {{composition; Dirichlet distribution; bicompositional Dirichlet distribution; random variate generation; rejection method; simplex}}, language = {{eng}}, note = {{Working Paper}}, publisher = {{Department of Statistics, Lund university}}, title = {{Generating random variates from a bicompositional Dirichlet distribution}}, url = {{https://lup.lub.lu.se/search/files/5725499/1580935.pdf}}, year = {{2009}}, }