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A Predictive Study of Dirichlet Process Mixture Models for Curve Fitting.
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- Scandinavian Journal of Statistics, 2014, v. 41, n. 3, p. 580, doi. 10.1111/sjos.12047
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- Article
Quasi‐Bayes properties of a procedure for sequential learning in mixture models.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2020, v. 82, n. 4, p. 1087, doi. 10.1111/rssb.12385
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- Article
Hybrid Dirichlet mixture models for functional data.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2009, v. 71, n. 4, p. 755, doi. 10.1111/j.1467-9868.2009.00708.x
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- Article
Consistency of Bernstein polynomial posteriors.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2002, v. 64, n. 1, p. 79, doi. 10.1111/1467-9868.00326
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- Article
Improving Prediction from Dirichlet Process Mixtures via Enrichment.
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- Journal of Machine Learning Research, 2014, v. 15, n. 3, p. 1041
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- Article
Bayesian density estimation using bernstein polynomials.
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- Canadian Journal of Statistics, 1999, v. 27, n. 1, p. 105, doi. 10.2307/3315494
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- Article
Predictive Constructions Based on Measure-Valued Pólya Urn Processes.
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- Mathematics (2227-7390), 2021, v. 9, n. 22, p. 2845, doi. 10.3390/math9222845
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- Article
Non parametric mixture priors based on an exponential random scheme.
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- Statistical Methods & Applications, 2002, v. 11, n. 1, p. 1, doi. 10.1007/BF02511443
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- Article
Extended Bernstein prior via reinforced urn processes.
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- Annals of the Institute of Statistical Mathematics, 2011, v. 63, n. 3, p. 481, doi. 10.1007/s10463-009-0227-3
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- Article
Generalized dynamic linear models for financial time series.
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- Applied Stochastic Models in Business & Industry, 2001, v. 17, n. 1, p. 27, doi. 10.1002/asmb.428
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- Article
Random Bernstein Polynomials.
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- Scandinavian Journal of Statistics, 1999, v. 26, n. 3, p. 373, doi. 10.1111/1467-9469.00155
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- Article