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Estimação de densidades via Misturas de distribuições "Skew"-normal por processos de Dirichlet"
(Universidade Federal de Minas GeraisUFMG, 2011-05-09)
This work addresses the density estimation problem using non-parametric Bayesian approach. It is considered hierarchical mixture models where the uncertainty about the mixing measure is modeled using the Dirichlet process ...
Nonparametric Bayesian modelling using skewed Dirichlet processes
(ELSEVIER, 2009)
We introduce a new class of discrete random probability measures that extend the definition of Dirichlet process (DP) by explicitly incorporating skewness. The asymmetry is controlled by a single parameter in such a way ...
BAYESIAN SEMIPARAMETRIC INFERENCE FOR MULTIVARIATE DOUBLY-INTERVAL-CENSORED DATA
(INST MATHEMATICAL STATISTICS, 2010)
Based on a data set obtained in a dental longitudinal study, conducted in Flanders (Belgium), the joint time to caries distribution of permanent first molars was modeled as a function of covariates. This involves an analysis ...
Computational aspects of nonparametric Bayesian analysis with applications to the modeling of multiple binary sequences
(AMER STATISTICAL ASSOC, 2000)
We consider Markov mixture models for multiple longitudinal binary sequences. Prior uncertainty in the mixing distribution is characterized by a Dirichlet process centered on a matrix beta measure. We use this setting to ...
"Search and classify topics in a corpus of text using the latent dirichlet allocation model"
(Institute of Advanced Engineering and ScienceID, 2022-11-18)
"This work aims at discovering topics in a text corpus and classifying the most
relevant terms for each of the discovered topics. The process was performed
in four steps: first, document extraction and data processing; ...
Search and classify topics in a corpus of text using the latent dirichlet allocation model
(Indonesian Journal of Electrical Engineering and Computer Science, 2023)
This work aims at discovering topics in a text corpus and classifying the most relevant terms for each of the discovered topics. The process was performed in four steps: first, document extraction and data processing; ...
Latent dirichlet allocation model for world trade analysis
(Public Library of Science, 2021-02-04)
International trade is one of the classic areas of study in economics. Its empirical analysis is a complex problem, given the amount of products, countries and years. Nowadays, given the availability of data, the tools ...
Aspectos práticos da estimação do modelo de mistura via processo de Dirichlet
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Estatística - PPGEs, 2013-04-03)
We review the Dirichlet process mixture model and investigate its performance as a classification method. The first aspect considered is its sensibility to the choice of location parameter of the base distribution. The ...
A Bayesian Semiparametric Approach for Solving the Discrete Calibration Problem
(TAYLOR & FRANCIS INC, 2010)
In this article, we introduce a semi-parametric Bayesian approach based on Dirichlet process priors for the discrete calibration problem in binomial regression models. An interesting topic is the dosimetry problem related ...
A Bayesian semi-parametric approach to the ordinal calibration problem
(Taylor & Francis, 2016)
We introduce a semi-parametric Bayesian approach based on skewed Dirichlet processes priors for location parameters in the ordinal calibration problem. This approach allows the modeling of asymmetrical error distributions. ...