6 citations · 6 across the 2 of their papers we have counts for
2 papers
stat.ML2014
Detailed Derivations of Small-Variance Asymptotics for some Hierarchical Bayesian Nonparametric Models
Jonathan H. Huggins, Ardavan Saeedi, Matthew J. Johnson
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 (…
stat.ME2014★ 6 cited
Infinite Structured Hidden Semi-Markov Models
Jonathan H. Huggins, Frank Wood
This paper reviews recent advances in Bayesian nonparametric techniques for constructing and performing inference in infinite hidden Markov models. We focus on variants of Bayesian…