Title:
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Compositional ideas in the bayesian analysis of categorical data with application to dose finding clinical trials
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Author:
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Gasparini, Mauro; Eisele, J.
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Other authors:
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Thió i Fernández de Henestrosa, Santiago; Martín Fernández, Josep Antoni; Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada |
Abstract:
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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 compositionaldata have a natural counterpart in the construction of a Bayesian statistical model for categoricaldata.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 whatparameterization to use |
Abstract:
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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. |
Publication date:
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2009-04-01 |
Subject(s):
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-Estadística bayesiana |
Rights:
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Tots els drets reservats |
Document type:
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Conference Object |
Published by:
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Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada
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