The Journal of chemical physics
A cautious user's guide in applying HMMs to physical systems.
M Schweiger, A Saurabh, S Pressé
Published: 202510.1063/5.0284206
Abstract
Nature, as far as we know, evolves continuously through space and time. Yet, the ubiquitous hidden Markov model (HMM)-originally developed for discrete time and space analysis in natural language processing-remains a central tool in interpreting time…
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