
handle: 11336/34595
Summary: 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.
Graphical Models, Bayesian inference, Visual Statistics, modelos jerárquicos, Hierarchical Models, psychology, Bayesian statistics, 31 Colecciones de estadística general / Statistics, Modelos jerárquicos, cognición estadística, Hierarchical models, Cognición estadística, graphical models, StatisticalCognition, https://purl.org/becyt/ford/1.1, Psychology, Estadística visual, GraphicalModels, https://purl.org/becyt/ford/1, estadística Bayesiana, Estadística Bayesiana, visual statistics, Modelos gráficos, psicología, hierarchical models, Statistical Models, Statistics, Statistical Cognition, Psicología, HA1-4737, 51 Matemáticas / Mathematics, Visual statistics, statistical cognition, Statistical cognition, modelos gráficos, Graphical models, estadística visual, Bayesian Statistics, Applications of statistics to psychology
Graphical Models, Bayesian inference, Visual Statistics, modelos jerárquicos, Hierarchical Models, psychology, Bayesian statistics, 31 Colecciones de estadística general / Statistics, Modelos jerárquicos, cognición estadística, Hierarchical models, Cognición estadística, graphical models, StatisticalCognition, https://purl.org/becyt/ford/1.1, Psychology, Estadística visual, GraphicalModels, https://purl.org/becyt/ford/1, estadística Bayesiana, Estadística Bayesiana, visual statistics, Modelos gráficos, psicología, hierarchical models, Statistical Models, Statistics, Statistical Cognition, Psicología, HA1-4737, 51 Matemáticas / Mathematics, Visual statistics, statistical cognition, Statistical cognition, modelos gráficos, Graphical models, estadística visual, Bayesian Statistics, Applications of statistics to psychology
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