2 citations · 3 across the 5 of their papers we have counts for
4 papers · 1 filter
Inference on state occupancy in covariate-driven hidden Markov models
Maya N. Vienken, Jan-Ole Koslik, Roland Langrock
Hidden Markov models (HMMs) are popular tools for analysing animal behaviour based on movement, acceleration and other sensor data. In particular, these models allow to infer how t…
Autoregressive hidden Markov models for high-resolution animal movement data
Ferdinand V. Stoye, Annika Hoyer, Roland Langrock
New types of high-resolution animal movement data allow for increasingly comprehensive biological inference, but method development to meet the statistical challenges associated wi…
How to build your latent Markov model -- the role of time and space
Sina Mews, Jan-Ole Koslik, Roland Langrock
Statistical models that involve latent Markovian state processes have become immensely popular tools for analysing time series and other sequential data. However, the plethora of m…
Inference on the state process of periodically inhomogeneous hidden Markov models for animal behavior
Jan-Ole Koslik, Carlina C. Feldmann, Sina Mews +2
Over the last decade, hidden Markov models (HMMs) have become increasingly popular in statistical ecology, where they constitute natural tools for studying animal behavior based on…