most citedMulti-model ensembles for ecosystem prediction

5 citations · 5 across the 1 of their papers we have counts for

collaborators

6 papers

stat.AP2018

Inference in MCMC step selection models

Théo Michelot, Paul G. Blackwell, Simon Chamaillé-Jammes +1

Habitat selection models are used in ecology to link the distribution of animals to environmental covariates, and identify habitats that are important for conservation. The most wi…

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

State-switching continuous-time correlated random walks

Théo Michelot, Paul G. Blackwell

Continuous-time models have been developed to capture features of animal movement across temporal scales. In particular, one popular model is the continuous-time correlated random…

stat.ME2018

Integrated Continuous-time Hidden Markov Models

Paul G Blackwell

Motivated by applications in movement ecology, in this paper I propose a new class of integrated continuous-time hidden Markov models in which each observation depends on the under…

stat.ME2018

Gaussian process modeling of heterogeneity and discontinuities using Voronoi tessellations

Christopher A. Pope, John Paul Gosling, Stuart Barber +4

Many methods for modelling spatial processes assume global smoothness properties; such assumptions are often violated in practice. We introduce a method for modelling spatial proce…

q-bio.QM20175 cited

Multi-model ensembles for ecosystem prediction

Michael A Spence, Julia L. Blanchard, Axel G. Rossberg +7

When making predictions about ecosystems, we often have available a number of different ecosystem models that attempt to represent their dynamics in a detailed mechanistic way. Eac…