2 citations · 2 across the 8 of their papers we have counts for
6 papers · 1 filter
Non-Homogeneous Markov-Switching Generalized Additive Models for Location, Scale, and Shape
Katharina Ammann, Timo Adam, Jan-Ole Koslik
We propose an extension of Markov-switching generalized additive models for location, scale, and shape (MS-GAMLSS) that allows covariates to influence not only the parameters of th…
Tensor-product interactions in Markov-switching models
Jan-Ole Koslik
Markov-switching models are a powerful tool for modelling time series data that are driven by underlying latent states. As such, they are widely used in behavioural ecology, where…
Efficient smoothness selection for nonparametric Markov-switching models via quasi restricted maximum likelihood
Jan-Ole Koslik
Markov-switching models are powerful tools that allow capturing complex patterns from time series data driven by latent states. Recent work has highlighted the benefits of estimati…
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…
Hidden semi-Markov models with inhomogeneous state dwell-time distributions
Jan-Ole Koslik
The well-established methodology for the estimation of hidden semi-Markov models (HSMMs) as hidden Markov models (HMMs) with extended state spaces is further developed to incorpora…
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…