Boosted coefficient models

DOI10.1007/s11222-011-9253-0zbMath1252.62049OpenAlexW2005137469MaRDI QIDQ693319

Petter Laake, Joseph Sexton

Publication date: 7 December 2012

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11222-011-9253-0

zbMATH Keywords

regression treesfunctional regressionhazard regressionconditional density estimation

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Density estimation (62G07)

Related Items (1)

The functional linear array model

Uses Software

• R
• alr3
• fda (R)
• gbm
• ipred
• randomSurvivalForest
• mlbench
• np
• randomForest

Cites Work

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• Greedy function approximation: A gradient boosting machine.
• Random survival forests
• Boosting algorithms: regularization, prediction and model fitting
• A practical guide to splines
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Functional data analysis.
• Fast Computation of Fully Automated Log-Density and Log-Hazard Estimators
• Regression Analysis for a Functional Response
• Bandwidth selection for kernel conditional density estimation.

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