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2005.04010
Cited By

Flexible co-data learning for high-dimensional prediction

Flexible co-data learning for high-dimensional prediction

8 May 2020

M. A. van de Wiel

ArXiv (abs)PDF HTML

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

6 / 6 papers shown

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

113

0

0

08 May 2024

Co-data Learning for Bayesian Additive Regression Trees

Co-data Learning for Bayesian Additive Regression Trees

Jeroen M. Goedhart

Jurriaan Janssen

M. A. van de Wiel

168

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

284

3

0

10 Mar 2023

Penalised regression with multiple sources of prior effects

Penalised regression with multiple sources of prior effects

A. Rauschenberger

M. A. van de Wiel

183

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 predictionBMC Bioinformatics (BB), 2022

M. A. van de Wiel

176

5

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 netJournal of Computational And Graphical Statistics (JCGS), 2021

M. A. van de Wiel

169

10

0

11 Jan 2021

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