Journal
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS
Volume 67, Issue 3, Pages 599-619Publisher
OXFORD UNIV PRESS
DOI: 10.1111/rssc.12251
Keywords
Exact simulation; Global Positioning System data; Local linearization; Movement model; Pseudolikelihood methods; Stochastic differential equation
Categories
Funding
- Groupement de Recherche EcoStat
- Groupement de Recherche EcoStat
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The paper proposes a new model for individuals' movement in ecology. The movement process is defined as a solution to a stochastic differential equation whose drift is the gradient of a multimodal potential surface. This offers a new flexible approach among the popular potential-based movement models in ecology. To perform parameter inference, the widely used Euler method is compared with two other pseudolikelihood procedures and with a Monte Carlo expectation-maximization approach based on exact simulation of diffusions. Performances of all methods are assessed with simulated data and with a data set of fishing vessel trajectories. We show that the usual Euler method performs worse than the other procedures for all sampling schemes.
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