Bayesian parameter estimation in dynamic population model via particle Markov chain Monte Carlo
In nature, population dynamics are subject to multiple sources of stochasticity. State-space models (SSMs) provide an ideal framework for incorporating both environmental noises and measurement errors into dynamic population models. In this paper, we present a recently developed method, Particle Mar...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
International Academy of Ecology and Environmental Sciences
2012-12-01
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| Series: | Computational Ecology and Software |
| Subjects: | |
| Online Access: | http://www.iaees.org/publications/journals/ces/articles/2012-2(4)/bayesian-parameter-estimation-in-dynamic-population-model.pdf |