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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.ML2014★ 6 cited
A Nonparametric Bayesian Approach to Uncovering Rat Hippocampal Population Codes During Spatial Navigation
Scott W. Linderman, Matthew J. Johnson, Matthew A. Wilson +1
Rodent hippocampal population codes represent important spatial information about the environment during navigation. Several computational methods have been developed to uncover th…