Recursive estimation of a discrete- time lotka-volterra predator-prey model

Abstract EN

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.