Posterior predictive checks to quantify lack-of-fit in admixture models of latent population structure.

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Bibliographic Details
Title: Posterior predictive checks to quantify lack-of-fit in admixture models of latent population structure.
Authors: Mimno D; Department of Information Science, Cornell University, Ithaca, NY 14853;, Blei DM; Department of Statistics, Department of Computer Science, Columbia University, New York, NY 10027;, Engelhardt BE; Department of Computer Science, Center for Statistics and Machine Learning, Princeton University, Princeton, NJ 08540 bee@princeton.edu.
Source: Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2015 Jun 30; Vol. 112 (26), pp. E3441-50. Date of Electronic Publication: 2015 Jun 12.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: National Academy of Sciences Country of Publication: United States NLM ID: 7505876 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1091-6490 (Electronic) Linking ISSN: 00278424 NLM ISO Abbreviation: Proc Natl Acad Sci U S A Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1091-6490
DOI:10.1073/pnas.1412301112