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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Bibliografische Detailangaben

Hauptverfasser:	Bez, Nicolas, Gloaguen, Pierre, Etienne, Marie-Pierre, Lanco, Sophie, Joo, Rocío, Rivot, Etienne, Walker, Emily, Woillez, Mathieu, Mahévas, Stéphanie
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Peer Community In 2025-04-01
Schriftenreihe:	Peer Community Journal
Schlagworte:	Hidden Markov models Hidden semi-Markov models State decoding accuracy Simulationestimation Auto-regressive process Ground truth
Online-Zugang:	https://peercommunityjournal.org/articles/10.24072/pcjournal.535/
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