Statistical Approaches for Hidden Variables in Ecology. Nathalie Peyrard
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Название: Statistical Approaches for Hidden Variables in Ecology

Автор: Nathalie Peyrard

Издательство: John Wiley & Sons Limited

Жанр: Социология

Серия:

isbn: 9781119902782

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СКАЧАТЬ models of individual animal movement. Trends in Ecology & Evolution, 23(2), 87–94 [Online]. Available at: http://www.sciencedirect.com/science/article/pii/S0169534707003588.

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      Rabiner, L.R. (1989). A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE, 77(2), 257–286.

      Tusell, F. (2011). Kalman filtering in R. Journal of Statistical Software, 39(2), 1–27.

      de Valpine, P., Turek, D., Paciorek, C., Anderson-Bergman, C., Temple Lang, D., Bodik, R. (2017). Programming with models: Writing statistical algorithms for general model structures with NIMBLE. Journal of Computational and Graphical Statistics, 26, 403–413.

      1 1 This hypothesis is helpful from a mathematical perspective, and results in efficient hidden state reconstruction algorithms. From a modeling perspective, its use is debatable, since it implies that the individual has no memory of its past trajectory.

      2 2 One degree of longitude at the equator does not correspond to the same distance as 1 degree of longitude at the 45th parallel, for example.

      3 3 The “bivariate velocity” model can still be interpreted a posteriori using the classic step length/angle approach, as shown here. In our example, as the majority of turning angles are close to 0, the Vp component of the metric is closely correlated with the step length.

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