Hierarchical Graphical Bayesian Models in Psychology
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| Format: | Artículo científico |
| Sprache: | en |
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Universidad Nacional de Colombia
2014
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| _version_ | 1876462948824645632 |
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| author | Guillermo Campitelli |
| author_facet | Guillermo Campitelli |
| contents | Hierarchical Graphical Bayesian Models in Psychology Guillermo Campitelli Guillermo Macbeth Física, Astronomía y Matemáticas Psychology Graphical Models Visual Statistics Bayesian Statistics Hierarchical Models The improvement of graphical methods in psychological research can pro- mote their use and a better comprehension of their expressive power. The application of hierarchical Bayesian graphical models has recently become more frequent in psychological research. The aim of this contribution is to introduce suggestions for the improvement of hierarchical Bayesian graphical models in psychology. This novel set of suggestions stems from the descrip- tion and comparison between two main approaches concerned with the use of plate notation and distribution pictograms. It is concluded that the combi- nation of relevant aspects of both models might improve the use of powerful hierarchical Bayesian graphical models in psychology. 2014 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89933712006 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.2 Vol.37 |
| format | Artículo científico |
| id | redalyc_89933712006 |
| institution | Redalyc |
| language | en |
| publishDate | 2014 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Hierarchical Graphical Bayesian Models in Psychology Guillermo Campitelli Física, Astronomía y Matemáticas Psychology Graphical Models Visual Statistics Bayesian Statistics Hierarchical Models Hierarchical Graphical Bayesian Models in Psychology Guillermo Campitelli Guillermo Macbeth Física, Astronomía y Matemáticas Psychology Graphical Models Visual Statistics Bayesian Statistics Hierarchical Models The improvement of graphical methods in psychological research can pro- mote their use and a better comprehension of their expressive power. The application of hierarchical Bayesian graphical models has recently become more frequent in psychological research. The aim of this contribution is to introduce suggestions for the improvement of hierarchical Bayesian graphical models in psychology. This novel set of suggestions stems from the descrip- tion and comparison between two main approaches concerned with the use of plate notation and distribution pictograms. It is concluded that the combi- nation of relevant aspects of both models might improve the use of powerful hierarchical Bayesian graphical models in psychology. 2014 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89933712006 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.2 Vol.37 |
| title | Hierarchical Graphical Bayesian Models in Psychology |
| topic | Física, Astronomía y Matemáticas Psychology Graphical Models Visual Statistics Bayesian Statistics Hierarchical Models |
| url | https://www.redalyc.org/articulo.oa?id=89933712006 |