Bayesian inference for continuous-time hidden Markov models with an unknown number of states
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We consider the modeling of data generated by a latent continuous-time Markov jump process with a state space of finite but unknown dimensions. Typically in such models, the number of states has to be pre-specified, and Bayesian inference for a fixed number of... ...
