Ítem
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Thió i Fernández de Henestrosa, Santiago
Martín Fernández, Josep Antoni |
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| Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada | |
|
Gasparini, Mauro
Eisele, J. |
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| 17 octubre 2003 | |
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Compositional random vectors are fundamental tools in the Bayesian analysis of categorical data.
Many of the issues that are discussed with reference to the statistical analysis of compositional
data have a natural counterpart in the construction of a Bayesian statistical model for categorical
data.
This note builds on the idea of cross-fertilization of the two areas recommended by Aitchison (1986)
in his seminal book on compositional data. Particular emphasis is put on the problem of what
parameterization to use Geologische Vereinigung; Universitat de Barcelona, Equip de Recerca Arqueomètrica; Institut d’Estadística de Catalunya; International Association for Mathematical Geology; Patronat de l’Escola Politècnica Superior de la Universitat de Girona; Fundació privada: Girona, Universitat i Futur. |
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| application/pdf | |
| Gasparini, M.; Eisele, J. ’Compositional ideas in the bayesian analysis of categorical data with application to dose finding clinical trials’ a CODAWORK’03. Girona: La Universitat, 2003 [consulta: maig 2008]. Necessita Adobe Acrobat. Disponible a Internet a: http://hdl.handle.net/10256/686 | |
| 84-8458-111-X | |
| http://hdl.handle.net/10256/686 | |
| eng | |
| Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada | |
| Tots els drets reservats | |
| Estadística bayesiana | |
| Compositional ideas in the bayesian analysis of categorical data with application to dose finding clinical trials | |
| info:eu-repo/semantics/conferenceObject | |
| DUGiDocs |
