activity
20092020
most citedMetrics for describing dyadic movement: a review

28 citations · 44 across the 9 of their papers we have counts for

collaborators

9 papers

stat.AP2020

Identifying partners at sea on contrasting fisheries around the world

Rocío Joo, Nicolas Bez, Marie-Pierre Etienne +4

Here we present an approach to identify partners at sea based on fishing track analysis, and describe this behaviour in six different fleets: 1) pelagic pair trawlers, 2) large bot…

stat.AP2020

Backward importance sampling for online estimation of state space models

Alice Martin, Marie-Pierre Etienne, Pierre Gloaguen +2

This paper proposes a new Sequential Monte Carlo algorithm to perform online estimation in the context of state space models when either the transition density of the latent state…

stat.AP2018

The Langevin diffusion as a continuous-time model of animal movement and habitat selection

Théo Michelot, Marie-Pierre Etienne, Pierre Gloaguen

1. The utilisation distribution describes the relative probability of use of a spatial unit by an animal. It is natural to think of it as the long-term consequence of the animal's…

q-bio.QM2018★ 28 cited

Metrics for describing dyadic movement: a review

Rocio Joo, Marie-Pierre Etienne, Nicolas Bez +1

In movement ecology, the few works that have taken collective behaviour into account are data-driven and rely on simplistic theoretical assumptions, relying in metrics that may or…

stat.AP2017★ 1 cited

A multivariate variable selection approach for analyzing LC-MS metabolomics data

M. Perrot-Dockès, C. Lévy-Leduc, J. Chiquet +5

Omic data are characterized by the presence of strong dependence structures that result either from data acquisition or from some underlying biological processes. In metabolomics,…

stat.ME2017★ 7 cited

Online Sequential Monte Carlo smoother for partially observed stochastic differential equations

Pierre Gloaguen, Marie-Pierre Etienne, Sylvain Le Corff

This paper introduces a new algorithm to approximate smoothed additive functionals for partially observed stochastic differential equations. This method relies on a recent procedur…

math.ST2015

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

Pierre Gloaguen, Marie-Pierre Etienne, Sylvain Le Corff

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…

stat.AP2010★ 7 cited

Extracting abundance indices from longline surveys : method to account for hook competition and unbaited hooks

Marie-Pierre Etienne, Shannon Obradovich, Lynne Yamanaka +1

The most commonly used relative abundance index in stock assessments of longline fisheries is catch per unit effort (CPUE), here defined as the number of fish of the targeted speci…

stat.AP2009★ 1 cited

Random effects compound Poisson model to represent data with extra zeros

Marie-Pierre Etienne, Eric Parent, Benoit Hugues +1

This paper describes a compound Poisson-based random effects structure for modeling zero-inflated data. Data with large proportion of zeros are found in many fields of applied stat…