10 citations · 21 across the 4 of their papers we have counts for
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stat.ME2021★ 10 cited
Bayesian inference for continuous-time hidden Markov models with an unknown number of states
Yu Luo, David A. Stephens
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…
stat.ME2021★ 1 cited
Non-parametric Bayesian inference via loss functions under model misspecification
Yu Luo, David A. Stephens, Daniel J. Graham +1
In the usual Bayesian setting, a full probabilistic model is required to link the data and parameters, and the form of this model and the inference and prediction mechanisms are sp…