Clustering distributions with the marginalized nested Dirichlet process

Author:

Zuanetti Daiane Aparecida1ORCID,Müller Peter2,Zhu Yitan3,Yang Shengjie3,Ji Yuan4

Affiliation:

1. Department of Statistics; UFSCar; São Carlos Brazil

2. Department of Mathematics; University of Texas; Austin, Texas U.S.A.

3. NorthShore University HealthSystem; Evanston, Illinois U.S.A.

4. NorthShore University HealthSystem; Evanston and University of Chicago; U.S.A.

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Reference25 articles.

1. Predicting effective microRNA target sites in mammalian mRNAs;Agarwal;eLife,2015

2. Bayesian survival model based on moment characterization;Arbel;Bayesian Statistics from Methods to Models and Applications,2015

3. Modeling with normalized random measure mixture models;Barrios;Statistical Science,2013

4. Broderick , T. Kulis , B. Jordan , M. 2013 MAD-Bayes: MAP-based asymptotic derivations from Bayes Proceedings of the 30th International Conference on Machine Learning (ICML)

5. Dahl , D. B. 2006 Model-based clustering for expression data via a Dirichlet process mixture model

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