Proper account of auto-correlations improves decoding performances of state-space (semi) Markov models

Proper account of auto-correlations improves decoding performances of state-space (semi) Markov models

State-space models are widely used in ecology to infer hidden behaviors. This study develops an extensive numerical simulation-estimation experiment to evaluate the state decoding accuracy of four simple state-space models. These models are obtained by combining different Markovian specifications (M...

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Bibliographic Details
Main Authors: Bez, Nicolas, Gloaguen, Pierre, Etienne, Marie-Pierre, Lanco, Sophie, Joo, Rocío, Rivot, Etienne, Walker, Emily, Woillez, Mathieu, Mahévas, Stéphanie
Format: Article
Language:English
Published: Peer Community In 2025-04-01
Series:Peer Community Journal
Subjects:
Hidden Markov models
Hidden semi-Markov models
State decoding accuracy
Simulationestimation
Auto-regressive process
Ground truth
Online Access:https://peercommunityjournal.org/articles/10.24072/pcjournal.535/
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