146 citations · 167 across the 4 of their papers we have counts for
4 papers
Generalizing the first-difference correlated random walk for marine animal movement data
Christoffer Moesgaard Albertsen
Animal telemetry data are often analysed with discrete time movement models assuming rotation in the movement. These models are defined with equidistant distant time steps. However…
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…
Choosing the observational likelihood in state-space stock assessment models
Christoffer Moesgaard Albertsen, Anders Nielsen, Uffe Høgsbro Thygesen
Data used in stock assessment models result from combinations of biological, ecological, fishery, and sampling processes. Since different types of errors propagate through these pr…
State-space models' dirty little secrets: even simple linear Gaussian models can have estimation problems
Marie Auger-Méthé, Chris Field, Christoffer M. Albertsen +4
State-space models (SSMs) are increasingly used in ecology to model time-series such as animal movement paths and population dynamics. This type of hierarchical model is often stru…