16 citations · 31 across the 6 of their papers we have counts for
3 papers · 1 filter
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…
Maximum approximate likelihood estimation of general continuous-time state-space models
Sina Mews, Roland Langrock, Marius Ötting +2
Continuous-time state-space models (SSMs) are flexible tools for analysing irregularly sampled sequential observations that are driven by an underlying state process. Corresponding…