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Flexible co-data learning for high-dimensional prediction

Flexible co-data learning for high-dimensional prediction

8 May 2020
M. V. van Nee
L. Wessels
M. A. van de Wiel
    OOD
ArXiv (abs)PDFHTML

Papers citing "Flexible co-data learning for high-dimensional prediction"

6 / 6 papers shown
Title
Guiding adaptive shrinkage by co-data to improve regression-based
  prediction and feature selection
Guiding adaptive shrinkage by co-data to improve regression-based prediction and feature selection
M. A. van de Wiel
W. V. Wieringen
27
0
0
08 May 2024
Co-data Learning for Bayesian Additive Regression Trees
Co-data Learning for Bayesian Additive Regression Trees
Jeroen M. Goedhart
Thomas Klausch
Jurriaan Janssen
M. A. van de Wiel
41
1
0
16 Nov 2023
Informative co-data learning for high-dimensional Horseshoe regression
Informative co-data learning for high-dimensional Horseshoe regression
Claudio Busatto
M. V. D. Wiel
122
2
0
10 Mar 2023
Penalised regression with multiple sources of prior effects
Penalised regression with multiple sources of prior effects
A. Rauschenberger
Z. Landoulsi
M. A. van de Wiel
Enrico Glaab
45
0
0
16 Dec 2022
ecpc: An R-package for generic co-data models for high-dimensional
  prediction
ecpc: An R-package for generic co-data models for high-dimensional prediction
M. V. van Nee
L. Wessels
M. A. van de Wiel
21
3
0
16 May 2022
Fast marginal likelihood estimation of penalties for group-adaptive
  elastic net
Fast marginal likelihood estimation of penalties for group-adaptive elastic net
M. V. Nee
T. V. D. Brug
M. A. van de Wiel
31
9
0
11 Jan 2021
1