Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4625101 | Advances in Applied Mathematics | 2010 | 19 Pages |
Abstract
Multivariate Poisson random variables subject to linear integer constraints arise in several application areas, such as queuing and biomolecular networks. This note shows how to compute conditional statistics in this context, by employing Wilf–Zeilberger theory and associated algorithms. A symbolic computation package has been developed and is made freely available. A discussion of motivating biomolecular problems is also provided.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics