Web: http://arxiv.org/abs/2209.08173

Sept. 29, 2022, 1:13 a.m. | Cansu Alakus, Denis Larocque, Aurelie Labbe

stat.ML updates on arXiv.org arxiv.org

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 (CovRegRF) to estimate the
covariance matrix of a multivariate response given a set of covariates, using a
random forest framework. Random forest trees are built with a splitting rule
specially designed to maximize the difference between the sample covariance
matrix estimates of …

arxiv covariance random random forests regression

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