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stat.ME2025
Flexible unimodal density estimation in hidden Markov models
Jan-Ole Koslik, Fanny Dupont, Marie Auger-Méthé +3
1. Hidden Markov models (HMMs) are powerful tools for modelling time-series data with underlying state structure. However, selecting appropriate parametric forms for the state-depe…
stat.ME2024
Incorporating sparse labels into hidden Markov models using weighted likelihoods improves accuracy and interpretability in biologging studies
Evan Sidrow, Nancy Heckman, Tess M. McRae +4
Ecologists often use a hidden Markov model to decode a latent process, such as a sequence of an animal's behaviours, from an observed biologging time series. Modern technological d…