Detecting spatial clusters via a mixture of Dirichlet processes
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Publication:1733132
DOI10.1155/2018/3506794zbMath1431.62271OpenAlexW2904453529MaRDI QIDQ1733132
Hongmei Zhang, Meredith A. Ray, Jian Kang
Publication date: 21 March 2019
Published in: Journal of Probability and Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2018/3506794
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian inference (62F15) Applications of branching processes (60J85)
Cites Work
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- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
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- Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
- Bayesian analysis of mixture models with an unknown number of components\,--\,an alternative to reversible jump methods.
- Bayesian Statistical Modelling
- Bayesian Measures of Model Complexity and Fit
- Bayesian Density Estimation and Inference Using Mixtures
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