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Finite mixture models and hidden Markov models (HMMs) occupy central roles in modern statistical inference and data analysis. Finite mixture models assume that data originate from a latent ...
Definition A Hidden Markov Model (HMM) is a statistical model that assumes there are underlying, unobservable (hidden) states that drive observable outcomes.
In this paper, we extend the methodology of knockoffs to problems where the distribution of the covariates can be described by a hidden Markov model.
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