A composite Bayesian hierarchical model of compositional data with zeros

Napier, Gary, Neocleous, Tereza and Nobile, Agostino orcid.org/0000-0002-5344-8525 (2015) A composite Bayesian hierarchical model of compositional data with zeros. Journal of Chemometrics. 96 - 108. ISSN 1099-128X

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Copyright, Publisher and Additional Information: Copyright © 2014 John Wiley & Sons, Ltd. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.
Keywords: Bayes factor,Classification,Evidence evaluation,Forensic glass,Markov chain Monte Carlo
Dates:
  • Published: February 2015
  • Published (online): 13 October 2014
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Mathematics (York)
Depositing User: Pure (York)
Date Deposited: 24 May 2016 11:35
Last Modified: 13 Nov 2019 09:25
Published Version: https://doi.org/10.1002/cem.2681
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.1002/cem.2681

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