Covariance regression with random forests

Abstract Capturing the conditional covariances or correlations among the elements of a multivariate response vector based on covariates is important to various fields including neuroscience, epidemiology and biomedicine. We propose a new method called Covariance Regression with Random Forests (CovRe...

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Bibliographic Details
Main Authors: Cansu Alakus, Denis Larocque, Aurélie Labbe
Format: Article
Language:English
Published: BMC 2023-06-01
Series:BMC Bioinformatics
Subjects:
Online Access:https://doi.org/10.1186/s12859-023-05377-y