Journal article
Hierarchical Bayesian Graphical Models in Psychology
Revista Colombiana de Estadistica, Vol.37(2), pp.319-339
2014
Abstract
The improvement of graphical methods in psychological research can promote 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 description and comparison between two main approaches concerned with the use of plate notation and distribution pictograms. It is concluded that the combination of relevant aspects of both models might improve the use of powerful hierarchical Bayesian graphical models in psychology.
Details
- Title
- Hierarchical Bayesian Graphical Models in Psychology
- Authors/Creators
- G. Campitelli (Author/Creator) - Edith Cowan UniversityG. Macbeth (Author/Creator) - Universidad Nacional de Entre Ríos
- Publication Details
- Revista Colombiana de Estadistica, Vol.37(2), pp.319-339
- Publisher
- Universidad Nacional de Colombia
- Identifiers
- 991005542950307891
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
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