Two‐group Poisson‐Dirichlet mixtures for multiple testing-Reference-Cited by-同舟云学术

Two‐group Poisson‐Dirichlet mixtures for multiple testing

Published:2020-06-28 Issue:2 Volume:77 Page:622-633
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Denti Francesco¹^ORCID,Guindani Michele¹^ORCID,Leisen Fabrizio²,Lijoi Antonio³⁴,Wadsworth William Duncan⁵,Vannucci Marina⁶^ORCID

Affiliation:

1. Department of Statistics University of California Irvine California

2. School of Mathematics Statistics and Actuarial Sciences University of Kent Canterbury UK

3. Department of Decision Sciences Bocconi University Milan Italy

4. Bocconi Institute of Data Science and Analytics (BIDSA) Milan Italy

5. Microsoft Redmond Washington

6. Department of Statistics Rice University Houston Texas

Funder

Division of Social and Economic Sciences

Ministero dell’Istruzione, dell’Università e della Ricerca

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13314

Reference26 articles.

1. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

2. Canale A. Corradin R.andNipoti B.(2019)Importance conditional sampling for Pitman‐Yor mixtures. arXiv.

3. A two-part mixed-effects model for analyzing longitudinal microbiome compositional data

4. Dahl D.B.(2005)Sequentially‐allocated merge‐split sampler for conjugate and nonconjugate Dirichlet process mixture models. Technical Report Department of Statistics University of Winsconsin Madison.

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