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 combination ...
This paper extends the dynamically formulated hidden Markov models to a high-order hidden Markov model (HO-HMM) formulation. In the HO-HMM, the Markovian assumption that the future states (interpreted ...
MIS Quarterly, Vol. 42, No. 1 (March 2018), pp. 83-100, A1-A8 (26 pages) User contribution is critical to online communities but also difficult to sustain given its public goods nature. This paper ...
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