Finding the mean in a partition distribution-Reference-Cited by-同舟云学术

Finding the mean in a partition distribution

Published:2018-10-12 Issue:1 Volume:19 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Glassen Thomas J.,Oertzen Timo von^ORCID,Konovalov Dmitry A.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12859-018-2359-z.pdf

Reference35 articles.

1. Huelsenbeck JP, Andolfatto P. Inference of Population Structure Under a Dirichlet Process Model. Genetics. 2007; 175(4):1787.

2. Huelsenbeck JP, Andolfatto P, Huelsenbeck ET. Structurama: Bayesian Inference of Population Structure. Evol Bioinformatics Online. 2011; 7:55–9.

3. Miller JW, Harrison MT. Inconsistency of Pitman-Yor Process Mixtures for the Number of Components. J Mach Learn Res. 2014; 15(1):3333–70.

4. Shringarpure S, Won D, Xing EP. StructHDP: automatic inference of number of clusters and population structure from admixed genotype data. Bioinformatics. 2011; 27(13):i324–32.

5. Lawson DJ. Populations in statistical genetic modelling and inference. ArXiv e-prints. 2013:1306:arXiv:1306.0701. https://arxiv.org/abs/1306.0701 .

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