Pages that link to "Item:Q2914098"
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The following pages link to Boosting in structured additive models. (Q2914098):
Displaying 13 items.
- Model-based boosting in R: a hands-on tutorial using the R package mboost (Q110461) (← links)
- Boosting multi-state models (Q291265) (← links)
- Boosting in Cox regression: a comparison between the likelihood-based and the model-based approaches with focus on the R-packages \textit{CoxBoost} and \textit{mboost} (Q736636) (← links)
- Boosting additive models using component-wise P-splines (Q961113) (← links)
- Knot selection by boosting techniques (Q1020124) (← links)
- Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates (Q1703866) (← links)
- Pathway-based kernel boosting for the analysis of genome-wide association studies (Q1705355) (← links)
- Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors) (Q1848780) (← links)
- Transformation boosting machines (Q2302476) (← links)
- A unified framework of constrained regression (Q2631341) (← links)
- Model-based boosting 2.0 (Q2896130) (← links)
- Variable Selection and Model Choice in Geoadditive Regression Models (Q3637018) (← links)
- EEBoost: A General Method for Prediction and Variable Selection Based on Estimating Equations (Q5256421) (← links)
