activity
20142022
most citedUncovering ecological state dynamics with hidden Markov models

244 citations · 249 across the 4 of their papers we have counts for

collaborators

5 papers

stat.AP2022

Continuous-time modelling of behavioural responses in animal movement

Théo Michelot, Richard Glennie, Len Thomas +2

There is great interest in ecology to understand how wild animals are affected by anthropogenic disturbances, such as sounds. Behavioural response studies are an important approach…

stat.AP2021★ 3 cited

Estimating spatially-varying density and time-varying demographics with open population spatial capture-recapture: a photo-ID case study on bottlenose dolphins in Barataria Bay, Louisana, USA

Savannah Rogers, Richard Glennie, Len Thomas +4

From long-term spatial capture-recapture (SCR) surveys, we can infer a population's dynamics over time and distribution over space. It is becoming more computationally feasible to…

stat.ME2020

Varying-coefficient stochastic differential equations with applications in ecology

Théo Michelot, Richard Glennie, Catriona Harris +1

Stochastic differential equations (SDEs) are popular tools to analyse time series data in many areas, such as mathematical finance, physics, and biology. They provide a mechanistic…

q-bio.QM2020★ 244 cited

Uncovering ecological state dynamics with hidden Markov models

Brett T. McClintock, Roland Langrock, Olivier Gimenez +4

Ecological systems can often be characterised by changes among a finite set of underlying states pertaining to individuals, populations, communities, or entire ecosystems through t…

stat.ME2014★ 2 cited

Markov-switching generalized additive models

Roland Langrock, Thomas Kneib, Richard Glennie +1

We consider Markov-switching regression models, i.e. models for time series regression analyses where the functional relationship between covariates and response is subject to regi…