Genetic and Psychosocial Predictors of Aggression: Variable Selection and Model Building With Component-Wise Gradient Boosting

Genetic and Psychosocial Predictors of Aggression: Variable Selection and Model Building With Component-Wise Gradient Boosting

Rationale: Given datasets with a large or diverse set of predictors of aggression, machine learning (ML) provides efficient tools for identifying the most salient variables and building a parsimonious statistical model. ML techniques permit efficient exploration of data, have not been widely used in...

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Bibliographic Details
Main Authors: Robert Suchting, Joshua L. Gowin, Charles E. Green, Consuelo Walss-Bass, Scott D. Lane
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-05-01
Series:Frontiers in Behavioral Neuroscience
Subjects:
aggression
FKBP5
trauma
psychopathy
boosting
machine learning
Online Access:http://journal.frontiersin.org/article/10.3389/fnbeh.2018.00089/full

Internet

http://journal.frontiersin.org/article/10.3389/fnbeh.2018.00089/full

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