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 ...
Finite mixture models represent complex data by combining several simple probability distributions, each weighted by a mixing proportion. This framework captures heterogeneity in populations or ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results