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A non-parametric mixture model for topic modeling over time
non-parametric mixture model topic modeling over time
2012/9/17
A single, stationary topic model such as la-tent Dirichlet allocation is inappropriate for modeling corpora that span long time peri-ods, as the popularity of topics is likely to change over time. A n...
Splitting and Merging Components of a Nonconjugate Dirichlet Process Mixture Model
Bayesian model Markov chain Monte Carlo split-merge moves nonconjugate prior
2009/9/22
The inferential problem of associating data to mixture components is dif-
ficult when components are nearby or overlapping. We introduce a new split-merge
Markov chain Monte Carlo technique that eff...
Convergence properties of a general algorithm for calculating variational Bayesian estimates for a normal mixture model
Mixture model Variational Bayes Local convergence Laplace approximation
2009/9/21
In this paper we propose a generalised iterative algorithm for calcu-
lating variational Bayesian estimates for a normal mixture model and investigate
its convergence properties. It is shown theoret...
Mean field inference for the Dirichlet process mixture model
Bayesian nonparametrics approximation methods variational inference density estimation
2009/9/16
We present a systematic study of several recently proposed methods of mean field inference for the Dirichlet process mixture (DPM) model. These methods provide approximations to the posterior distribu...
A mixture model for unsupervised tail estimation
Mixing functions Heavy and Light Tailed Distributions Maximum Likelihood Mixture Mod
2010/3/18
This paper proposes a new method to combine several densities
such that each density dominates a separate part of a joint distribution. The
method is fully unsupervised, i.e. the parameters in the d...