The Discrete Infinite Logistic Normal Distribution
نویسندگان
چکیده
منابع مشابه
The Discrete Infinite Logistic Normal Distribution
We present the discrete infinite logistic normal distribution (DILN), a Bayesian nonparametric prior for mixed membership models. DILN generalizes the hierarchical Dirichlet process (HDP) to model correlation structure between the weights of the atoms at the group level. We derive a representation of DILN as a normalized collection of gamma-distributed random variables and study its statistical...
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We present the discrete infinite logistic normal distribution (DILN, “Dylan”), a Bayesian nonparametric prior for mixed membership models. DILN is a generalization of the hierarchical Dirichlet process (HDP) that models correlation structure between the weights of the atoms at the group level. We derive a representation of DILN as a normalized collection of gamma-distributed random variables, a...
متن کاملDiscussion of "The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling"
Mixed-membership models (e.g. “topic models”) are inarguably popular; especially latent Dirichlet allocation (LDA) [Blei et al., 2003] and its variants. Such models have become a fundamental tool in the analysis and exploration of many types of data. Originally designed to model text documents as per-word draws from a document-specific weighting of a finite collection of “topics” (distributions...
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ژورنال
عنوان ژورنال: Bayesian Analysis
سال: 2012
ISSN: 1936-0975
DOI: 10.1214/12-ba734