Modified parallel tempering and new priors enable better exploration of multimodal posteriors in Bayesian HMMs for ecological time series analysis.
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Bayesian inference for hidden Markov models under genuine multimodality with application to ecological time series
Modified parallel tempering and new priors enable better exploration of multimodal posteriors in Bayesian HMMs for ecological time series analysis.