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Structural identifiability analysis of some highly structured families of statespace models using differential algebra
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UNSPECIFIED. (2004) Structural identifiability analysis of some highly structured families of statespace models using differential algebra. JOURNAL OF MATHEMATICAL BIOLOGY, 49 (5). pp. 433-454. ISSN 0303-6812
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Official URL: http://dx.doi.org/10.1007/s00285-003-0261-3
Abstract
In this paper we identify biologically relevant families of models whose structural identifiability analysis could not be performed with available techniques directly. The models considered come from both the immunological and epidemiological literature.
| Item Type: | Journal Article |
|---|---|
| Subjects: | Q Science > QH Natural history > QH301 Biology |
| Journal or Publication Title: | JOURNAL OF MATHEMATICAL BIOLOGY |
| Publisher: | SPRINGER |
| ISSN: | 0303-6812 |
| Date: | November 2004 |
| Volume: | 49 |
| Number: | 5 |
| Number of Pages: | 22 |
| Page Range: | pp. 433-454 |
| Identification Number: | 10.1007/S00285-003-0261-3 |
| Publication Status: | Published |
| URI: | http://wrap.warwick.ac.uk/id/eprint/7826 |
Data sourced from Thomson Reuters' Web of Knowledge
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