Who Cited It

Hierarchical Dirichlet Processes

2006 · Journal of the American Statistical Association · 3,580 citations · 5 from inside this corpus

Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, David M. Blei

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Hierarchical Dirichlet Processes (2006)Hierarchical Dirichlet Proces…Latent dirichlet allocation (2003)Latent dirichlet allocationA tutorial on hidden Markov models and selected applications in speech recognition (1989)A tutorial on hidden Markov m…A Bayesian Analysis of Some Nonparametric Problems (1973)A Bayesian Analysis of Some N…Model-Based Clustering, Discriminant Analysis, and Density Estimation (2002)Model-Based Clustering, Discr…Bayesian Density Estimation and Inference Using Mixtures (1995)Bayesian Density Estimation a…Markov Chain Sampling Methods for Dirichlet Process Mixture Models (2000)Markov Chain Sampling Methods…Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems (1974)Mixtures of Dirichlet Process…Variational Algorithms for Approximate Bayesian Inference (2003)Variational Algorithms for Ap…A Constructive Definition of Dirichlet Priors (1991)A Constructive Definition of …Gibbs Sampling Methods for Stick-Breaking Priors (2001)Gibbs Sampling Methods for St…Exchangeability and related topics (1985)Exchangeability and related t…Probabilistic topic models (2012)Probabilistic topic modelsSoftware Framework for Topic Modelling with Large Corpora (2010)Software Framework for Topic …Probabilistic machine learning and artificial intelligence (2015)Probabilistic machine learnin…Mixed Membership Stochastic Blockmodels. (2008)Mixed Membership Stochastic B…Stochastic variational inference (2013)Stochastic variational infere…
16 of 16 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Latent dirichlet allocation200327,078
A tutorial on hidden Markov models and selected applications in speech recognition198922,910
A Bayesian Analysis of Some Nonparametric Problems19734,833
Model-Based Clustering, Discriminant Analysis, and Density Estimation20024,342
Bayesian Density Estimation and Inference Using Mixtures19952,248
Markov Chain Sampling Methods for Dirichlet Process Mixture Models20002,217
Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems19742,035
Variational Algorithms for Approximate Bayesian Inference20031,736
A Constructive Definition of Dirichlet Priors19911,612
Gibbs Sampling Methods for Stick-Breaking Priors20011,568
Exchangeability and related topics19851,390

What cites it, inside the corpus

PaperYearCited
Probabilistic topic models20125,623
Software Framework for Topic Modelling with Large Corpora20103,809
Probabilistic machine learning and artificial intelligence20152,031
Mixed Membership Stochastic Blockmodels.20081,540
Stochastic variational inference20131,480

Links

DOI · OpenAlex record

Topics

Bayesian Methods and Mixture ModelsComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports4 author record(s) attached.
  • supports51 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:46+00:00.

sha256 bba2969b3567609a…