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...
Saved in:
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: | |
Online Access: | https://peercommunityjournal.org/articles/10.24072/pcjournal.535/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi-Layer Superimposed Transmission for Optical Wireless Scattering Communication
by: Guanchu Wang, et al.
Published: (2019-01-01) -
The Bayesian Hidden Markov Chain Modeling of the Ghana COVID-19 Blood Type Infection Distribution
by: Joseph Johnson Kwabina Arhinful, et al.
Published: (2025-07-01) -
Markov Observation Models and Deepfakes
by: Michael A. Kouritzin
Published: (2025-06-01) -
SOLUTION TO EVALUATION PROBLEM OF HIDDEN SEMI-MARKOV QP-MODELS
by: V. M. Deundyak, et al.
Published: (2014-12-01) -
FInCH: Fast statistical inference for continuous‐time animal movement
by: Dominic Grainger, et al.
Published: (2025-07-01)