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We can use the truncated DP mixture approach given in the PyMC3 examples to estimate the number of mixture components.
Let's see how well that works with our HMM models and custom sampler step-methods.
The text was updated successfully, but these errors were encountered:
Here are some references that cover (hierarchical) DP priors in HMMs:
This paper contains a particle filtering example for a general DP-prior Poisson mixture (not HMM):
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rlouf
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We can use the truncated DP mixture approach given in the PyMC3 examples to estimate the number of mixture components.
Let's see how well that works with our HMM models and custom sampler step-methods.
The text was updated successfully, but these errors were encountered: