Cargando…
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests
BACKGROUND: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example Kruskal's algorithm. The efficiency of the algorithm makes it tractable for high-dimensional problems. RESULTS: We ex...
Autores principales: | Edwards, David, de Abreu, Gabriel CG, Labouriau, Rodrigo |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2823705/ https://www.ncbi.nlm.nih.gov/pubmed/20064242 http://dx.doi.org/10.1186/1471-2105-11-18 |
Ejemplares similares
-
Comparing Dynamic Causal Models using AIC, BIC and Free Energy
por: Penny, W.D.
Publicado: (2012) -
Using Bonferroni, BIC and AIC to assess evidence for alternative biological pathways: covariate selection for the multilevel Embryo-Uterus model
por: Stylianou, Christos, et al.
Publicado: (2013) -
Post-operative AICS status in completely resected lung cancer patients with pre-operative AICS abnormalities: predictive significance of disease recurrence
por: Anayama, Takashi, et al.
Publicado: (2018) -
New beam extraction system for the AIC-144 cyclotron
por: Borisov, O N, et al.
Publicado: (1998) -
Improved high-dimensional prediction with Random Forests by the use of co-data
por: te Beest, Dennis E., et al.
Publicado: (2017)