output
19982025
most citedUncovering ecological state dynamics with hidden Markov models

244 citations

Showing q-bio.QMShow all

5 papers · 1 filter

q-bio.QM2020★ 112 cited

A continuous-time state-space model for rapid quality-control of Argos locations from animal-borne tags

Ian D. Jonsen, Toby A. Patterson, Daniel P. Costa +12

State-space models are important tools for quality control of error-prone animal movement data. The near real-time (within 24 h) capability of the Argos satellite system aids dynam…

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…

q-bio.QM2016

Estimation and simulation of foraging trips in land-based marine predators

Théo Michelot, Roland Langrock, Sophie Bestley +3

The behaviour of colony-based marine predators is the focus of much research globally. Large telemetry and tracking data sets have been collected for this group of animals, and are…

q-bio.QM2016

Analysis of animal accelerometer data using hidden Markov models

Vianey Leos-Barajas, Theoni Photopoulou, Roland Langrock +4

Use of accelerometers is now widespread within animal biotelemetry as they provide a means of measuring an animal's activity in a meaningful and quantitative way where direct obser…

q-bio.QM2015★ 4 cited

A maximum likelihood estimate of natural mortality for brown tiger prawn (Penaeus esculentus) in Moreton Bay (Australia)

Marco Kienzle, David Sterling, Shijie Zhou +1

The delay difference model was implemented to fit 21 years of brown tiger prawn (Penaeus esculentus) catch in Moreton Bay by maximum likelihood to assess the status of this stock.…