15 citations · 15 across the 2 of their papers we have counts for
2 papers
stat.AP2019★ 15 cited
The conditionally autoregressive hidden Markov model (CarHMM): Inferring behavioural states from animal tracking data exhibiting conditional autocorrelation
Ethan Lawler, Kim Whoriskey, William H. Aeberhard +2
One of the central interests of animal movement ecology is relating movement characteristics to behavioural characteristics. The traditional discrete-time statistical tool for infe…
q-bio.QM2016
A Hidden Markov Movement Model for rapidly identifying behavioral states from animal tracks
Kim Whoriskey, Marie Auger-Méthé, Christoffer Moesgaard Albertsen +4
1. Electronic telemetry is frequently used to document animal movement through time. Methods that can identify underlying behaviors driving specific movement patterns can help us u…