Abstract
In this paper, using hidden Markov models, we estimate the number of individuals in a two-species (predator-prey) animal population using partial information provided by the so-called capture-recapture technique. Random samples of individuals are captured, tagged in some way and released. After some time other random samples are taken and the marked individuals are observed. Using this information, we estimate (recursively) the sizes of the two populations. Also, using the Expectation Maximization (EM) algorithm, the parameters of the model are updated.
Keywords
Publication details
- DOI
- 10.24200/squjs.vol9iss0pp53-66
- Journal
- Sultan Qaboos University Journal for Science, 9, 53
- Publisher
- Sultan Qaboos University
- Open access
- Gold open access
- License
- CC BY 4.0
Cite this article
APA 7
Aggoun, L. (2004). Recursive Estimation of a Discrete-Time Lotka-Volterra Predator-Prey Model. Sultan Qaboos University Journal for Science, 9, 53. https://doi.org/10.24200/squjs.vol9iss0pp53-66
MLA 9
Aggoun, Lakhdar. "Recursive Estimation of a Discrete-Time Lotka-Volterra Predator-Prey Model." Sultan Qaboos University Journal for Science, vol. 9, 2004, pp. 53. https://doi.org/10.24200/squjs.vol9iss0pp53-66.
Chicago (author–date)
Aggoun, Lakhdar. 2004. "Recursive Estimation of a Discrete-Time Lotka-Volterra Predator-Prey Model." Sultan Qaboos University Journal for Science 9: 53. https://doi.org/10.24200/squjs.vol9iss0pp53-66.
Harvard
Aggoun, L. (2004) 'Recursive Estimation of a Discrete-Time Lotka-Volterra Predator-Prey Model', Sultan Qaboos University Journal for Science, 9, pp. 53. doi:10.24200/squjs.vol9iss0pp53-66.
Vancouver
Aggoun L. Recursive Estimation of a Discrete-Time Lotka-Volterra Predator-Prey Model. Sultan Qaboos University Journal for Science. 2004;9:53. doi:10.24200/squjs.vol9iss0pp53-66
IEEE
L. Aggoun, "Recursive Estimation of a Discrete-Time Lotka-Volterra Predator-Prey Model," Sultan Qaboos University Journal for Science, vol. 9, pp. 53, 2004, doi: 10.24200/squjs.vol9iss0pp53-66.