146 citations · 146 across the 3 of their papers we have counts for
3 papers
Robust Estimation for Discrete-Time State Space Models
William H. Aeberhard, Eva Cantoni, Chris Field +3
State space models (SSMs) are now ubiquitous in many fields and increasingly complicated with observed and unobserved variables often interacting in non-linear fashions. The crucia…
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…
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…