Cargando…
Bayesian hierarchical models and prior elicitation for fitting psychometric functions
Our previous articles demonstrated how to analyze psychophysical data from a group of participants using generalized linear mixed models (GLMM) and two-level methods. The aim of this article is to revisit hierarchical models in a Bayesian framework. Bayesian models have been previously discussed for...
Autores principales: | Mezzetti, Maura, Ryan, Colleen P., Balestrucci, Priscilla, Lacquaniti, Francesco, Moscatelli, Alessandro |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10018033/ https://www.ncbi.nlm.nih.gov/pubmed/36936193 http://dx.doi.org/10.3389/fncom.2023.1108311 |
Ejemplares similares
-
Rolling Motion Along an Incline: Visual Sensitivity to the Relation Between Acceleration and Slope
por: Ceccarelli, Francesca, et al.
Publicado: (2018) -
A Hierarchical Bayesian Model for Crowd Emotions
por: Urizar, Oscar J., et al.
Publicado: (2016) -
The role of priors in Bayesian models of perception
por: Teufel, Christoph, et al.
Publicado: (2013) -
Gaze Behavior in One-Handed Catching and Its Relation with Interceptive Performance: What the Eyes Can't Tell
por: Cesqui, Benedetta, et al.
Publicado: (2015) -
Resting-State Functional Connectivity Estimated With Hierarchical Bayesian Diffuse Optical Tomography
por: Aihara, Takatsugu, et al.
Publicado: (2020)