A mean-constrained finite mixture of normals model
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Publication:310642
DOI10.1016/J.SPL.2016.05.009zbMath1398.62059OpenAlexW2404892712MaRDI QIDQ310642
Publication date: 8 September 2016
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2016.05.009
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric estimation (62G05) Bayesian inference (62F15)
Uses Software
Cites Work
- Linear Mixed Models with Flexible Distributions of Random Effects for Longitudinal Data
- Random-Effects Models for Longitudinal Data
- Geometric stick-breaking processes for continuous-time Bayesian nonparametric modeling
- Bayesian semiparametric structural equation models with latent variables
- Goodness-of-fit tests in mixed models
- Generalized linear mixed model with a penalized Gaussian mixture as a random effects distribution
- Bayesian nonparametric classification for spectroscopy data
- Componentwise adaptation for high dimensional MCMC
- Smooth density estimation with moment constraints using mixture distributions
- Bayesian Nonparametric Nonproportional Hazards Survival Modeling
- Smooth Random Effects Distribution in a Linear Mixed Model
- Bayesian Inference in Semiparametric Mixed Models for Longitudinal Data
- A New Bayesian Nonparametric Mixture Model
- A Predictive Approach to Model Selection
- A Semiparametric Bayesian Approach to the Random Effects Model
- Gibbs Sampling Methods for Stick-Breaking Priors
- A Mixture Model for Multivariate Extremes
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