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Regression trees and ensemble for multivariate outcomes

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Publication:6102203
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DOI10.1007/s13571-023-00301-zMaRDI QIDQ6102203

Michael Gaies, Mousumi Banerjee, Evan L. Reynolds, Brian C. Callaghan

Publication date: 8 May 2023

Published in: Sankhyā. Series B (Search for Journal in Brave)


zbMATH Keywords

machine learningregression treesMahalanobis distancemultivariate outcomesclinical interpretability


Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) General topics in the theory of algorithms (68W01)





Cites Work

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  • Bagging predictors
  • Recursive partitioning in the health sciences
  • Multivariate Regression Trees for Analysis of Abundance Data
  • Regression Trees for Censored Data
  • An overview of the estimation of large covariance and precision matrices
  • Survival Trees by Goodness of Split
  • The elements of statistical learning. Data mining, inference, and prediction
  • Random forests
  • Estimating structured high-dimensional covariance and precision matrices: optimal rates and adaptive estimation




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