18 citations · 27 across the 4 of their papers we have counts for
Showing stat.MEShow all
2 papers · 1 filter
stat.ME2024★ 1 cited
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…
stat.ME2021★ 18 cited
Modelling multi-scale state-switching functional data with hidden Markov models
Evan Sidrow, Nancy Heckman, Sarah M. E. Fortune +3
Data sets comprised of sequences of curves sampled at high frequencies in time are increasingly common in practice, but they can exhibit complicated dependence structures that cann…