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Unmixing compositional data with Bayesian techniques

Author
Tolosana-Delgado, R.
Type of activity
Presentation of work at congresses
Name of edition
4th International Workshop on Compositional Data Analysis
Date of publication
2011
Presentation's date
2011-05-11
Book of congress proceedings
Proceedings of the 4th International Workshop on Compositional Data Analysis (2011)
First page
1
Last page
5
Publisher
Centre Internacional de Mètodes Numèrics en Enginyeria (CIMNE)
Repository
http://hdl.handle.net/2117/16292 Open in new window
URL
http://congress.cimne.com/codawork11/Admin/Files/FilePaper/p56.pdf Open in new window
Abstract
A general problem in compositional data analysis is the unmixing of a composition into a series of pure endmembers. In its most complex version, one does neither know the composition of these endmembers, nor their relative contribution to each observed composition. The problem is particularly cumbersome if the number of endmembers is larger than the number of observed components. This contribution proposes a possible solution of this under-determined problem. The proposed method starts assuming ...
Citation
Tolosana-Delgado, R. Unmixing compositional data with Bayesian techniques. A: International Workshop on Compositional Data Analysis. "Proceedings of the 4th International Workshop on Compositional Data Analysis (2011)". Sant Feliu de Guíxols: Centre Internacional de Mètodes Numèrics en Enginyeria (CIMNE), 2011, p. 1-5.
Group of research
LIM/UPC - Maritime Engineering Laboratory

Participants

  • Tolosana Delgado, Raimon  (author and speaker )

Attachments