Emergent Mind
Detailed Derivations of Small-Variance Asymptotics for some Hierarchical Bayesian Nonparametric Models
(1501.00052)
Published Dec 31, 2014
in
stat.ML
and
cs.LG
Abstract
In this note we provide detailed derivations of two versions of small-variance asymptotics for hierarchical Dirichlet process (HDP) mixture models and the HDP hidden Markov model (HDP-HMM, a.k.a. the infinite HMM). We include derivations for the probabilities of certain CRP and CRF partitions, which are of more general interest.
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