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Dirichlet Process Gaussian Mixture Models: Choice of the Base Distribution
16/16 checkable references clean · checked 2026-07-22
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resolves10.1016/B978-0-12-307502-4.50023-4
CONVERGENCE OF DIRICHLET MEASURES AND THE INTERPRETATION OF THEIR PARAMETER11Research supported by the U.S. Army Research Office under Grant no. DAAG 29-79-C-0158. The United States Government is authorized to reproduce and distribute reprints for governmental purposes.
resolves10.1214/aos/1176342871
Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems
resolves10.1080/10618600.2000.10474879
Markov Chain Sampling Methods for Dirichlet Process Mixture Models
resolves10.1080/03610919408813196
Estimating normal means with a conjugate style dirichlet process prior
The 6 references without a DOI — listed, not checked
no DOI — not checkedPitman J. Combinatorial Stochastic Processes Ecole d’Eté de Probabilités de Saint-Flour XXXII – 2002, Lecture Notes in Mathematics, Vol. 1875, Springer, 2006.
no DOI — not checkedRasmussen C E. The infinite Gaussian mixture model. Advances in Neural Information Processing Systems, 2000, 12: 554-560.
no DOI — not checkedWest M, Müller P, Escobar M D. Hierarchical Priors and Mixture Models with Applications in Regression and Density Estimation. Aspects of Uncertainty, Freeman P R, Smith A F M (eds.), John Wiley, 1994, pp.363-386.
no DOI — not checkedNeal R M. Markov chain sampling methods for Dirichlet process mixture models. Technical Report 4915, Department of Statistics, University of Toronto, 1998.
no DOI — not checkedFisher R A. The use of multiple measurements in axonomic problems. Annals of Eugenics, 1936, 7: 179-188.
no DOI — not checkedForina M, Armanino C, Castino M, Ubigli M. Multivariate data analysis as a discriminating method of the origin of wines. Vitis, 1986, 25(3): 189-201.
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