Skip to Main content Skip to Navigation
Preprints, Working Papers, ...

Stochastic differential equation based on a multimodal potential to model movement data in ecology

Abstract : This 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 pseudo-likelihood 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 vessels trajectories. We show that the usual Euler method performs worse than the other procedures for all sampling schemes.
Document type :
Preprints, Working Papers, ...
Complete list of metadatas

Cited literature [27 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01207001
Contributor : Sylvain Le Corff <>
Submitted on : Wednesday, September 20, 2017 - 10:46:47 PM
Last modification on : Thursday, November 26, 2020 - 5:14:01 PM

Files

final_document.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01207001, version 3
  • ARXIV : 1509.09103

Collections

Citation

Pierre Gloaguen, Marie-Pierre Etienne, Sylvain Le Corff. Stochastic differential equation based on a multimodal potential to model movement data in ecology. 2015. ⟨hal-01207001v3⟩

Share

Metrics

Record views

223

Files downloads

540