Cargando…
How well do network models predict observations? On the importance of predictability in network models
Network models are an increasingly popular way to abstract complex psychological phenomena. While studying the structure of network models has led to many important insights, little attention has been paid to how well they predict observations. This is despite the fact that predictability is crucial...
Autores principales: | Haslbeck, Jonas M. B., Waldorp, Lourens J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5880858/ https://www.ncbi.nlm.nih.gov/pubmed/28718088 http://dx.doi.org/10.3758/s13428-017-0910-x |
Ejemplares similares
-
The impact of ordinal scales on Gaussian mixture recovery
por: Haslbeck, Jonas M. B., et al.
Publicado: (2022) -
Applying a Dynamical Systems Model and Network Theory to Major Depressive Disorder
por: Kossakowski, Jolanda J., et al.
Publicado: (2019) -
Estimating group differences in network models using moderation analysis
por: Haslbeck, Jonas M. B.
Publicado: (2021) -
Robust and Unbiased Variance of GLM Coefficients for Misspecified Autocorrelation and Hemodynamic Response Models in fMRI
por: Waldorp, Lourens
Publicado: (2009) -
Network Structure Explains the Impact of Attitudes on Voting Decisions
por: Dalege, Jonas, et al.
Publicado: (2017)