Residual analysis is a useful tool for checking lack of fit and for providing insight into model improvement. However, literature on residual analysis and the goodness of fit for hidden Markov models
We develop a new hidden Markov model-based method to analyze C elegans locomotive behavior and use this method to quantitatively characterize behavioral states. In agreement with previous work, we fin
This paper introduces a novel hidden Markov quantile graphical model for capturing time-varying conditional dependence structures in multivariate time series. The proposed method allows the identifica
87 HMMs for key metabolism enzymes used in the manuscript: Lavy et. al., (2019) Microbial communities across a hillslope-riparian transect shaped by proximity to the stream, groundwater table, and