Cover Image

Adaptive group-regularized logistic elastic net regression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Münch, Magnus M., Peeters, Carel F. W., van der Vaart, Aad W., van de Wiel, Mark A.
Format:	Preprint
Published:	2018
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Semi-supervised empirical Bayes group-regularized factor regression
by: Münch, Magnus M., et al.
Published: (2021)

Bayesian regression discontinuity design with unknown cutoff
by: Kowalska, Julia, et al.
Published: (2024)

Adaptation using spatially distributed Gaussian Processes
by: Szabo, Botond, et al.
Published: (2023)

Rotational Uniqueness Conditions Under Oblique Factor Correlation Metric
by: Peeters, Carel F. W.
Published: (2019)

Guiding adaptive shrinkage by co-data to improve regression-based prediction and feature selection
by: van de Wiel, Mark A., et al.
Published: (2024)

Addressing outliers in mixed-effects logistic regression: a more robust modeling approach
by: Burger, Divan A., et al.
Published: (2025)

Semiparametric logistic regression for inference on relative vaccine efficacy in case-only studies with informative missingness
by: van der Laan, Lars, et al.
Published: (2023)

rags2ridges: A One-Stop-Shop for Graphical Modeling of High-Dimensional Precision Matrices
by: Peeters, Carel F. W., et al.
Published: (2020)

Bootstrapping not under the null?
by: Derumigny, Alexis, et al.
Published: (2025)

REML implementations of kernel-based genomic prediction models for genotype x environment x management interactions
by: Melsen, Killian A. C., et al.
Published: (2025)

ProfileGLMM: a R Package Extending Bayesian Profile Regression using Generalised Linear Mixed Models
by: Amestoy, Matteo, et al.
Published: (2026)

Bayesian Profile Regression with Linear Mixed Models (Profile-LMM) applied to Longitudinal Exposome Data
by: Amestoy, Matteo, et al.
Published: (2025)

A Flexible Model for Record Linkage
by: Robach, Kayané, et al.
Published: (2024)

False Discovery estimation in Record Linkage
by: Robach, Kayané, et al.
Published: (2025)

Fusion of Tree-induced Regressions for Clinico-genomic Data
by: Goedhart, Jeroen M., et al.
Published: (2024)

Combined shrinkage of fixed and random effects in linear mixed models using empirical Bayes
by: Amestoy, Matteo, et al.
Published: (2026)

The MELODIC family for simultaneous binary logistic regression in a reduced space
by: de Rooij, Mark, et al.
Published: (2021)

A framework for interpretation and testing of sparse canonical correlations
by: Senar, Nuria, et al.
Published: (2023)

Efficient Statistical Estimation for Sequential Adaptive Experiments with Implications for Adaptive Designs
by: Zhang, Wenxin, et al.
Published: (2025)

Generalised logistic regression with vine copulas
by: Haff, Ingrid Hobæk, et al.
Published: (2024)

Efficient Bayesian Inference in Strictly Semi-parametric Linear Inverse Problems
by: Magra, Adel, et al.
Published: (2026)

Improving Genomic Prediction using High-dimensional Secondary Phenotypes: the Genetic Latent Factor Approach
by: Melsen, Killian A. C., et al.
Published: (2024)

A latent factor approach to hyperspectral time series data for multivariate genomic prediction of grain yield in wheat
by: Kunst, Jonathan F., et al.
Published: (2026)

Ridge, lasso, and elastic-net estimations of the modified Poisson and least-squares regressions for binary outcome data
by: Kitano, Takahiro, et al.
Published: (2024)

Marginally interpretable spatial logistic regression with bridge processes
by: Lee, Changwoo J., et al.
Published: (2024)

Estimating equations for survival analysis with pooled logistic regression
by: Zivich, Paul N, et al.
Published: (2025)

Bayesian changepoint detection via logistic regression and the topological analysis of image series
by: Thomas, Andrew M., et al.
Published: (2024)

Bivariate deconvolution for cancer detection after surgery
by: Senar, Nuria, et al.
Published: (2026)

An Online Meta-Level Adaptive Design Framework with Targeted Learning Inference: Applications to Evaluating and Utilizing Surrogate Outcomes in Adaptive Designs
by: Zhang, Wenxin, et al.
Published: (2024)

Nonparametric efficient causal estimation of the intervention-specific expected number of recurrent events with continuous-time targeted maximum likelihood and highly adaptive lasso estimation
by: Rytgaard, Helene C. W., et al.
Published: (2024)

A robust mixed-effects quantile regression model using generalized Laplace mixtures to handle outliers and skewness
by: Burger, Divan A., et al.
Published: (2025)

Adaptive-TMLE for the Average Treatment Effect based on Randomized Controlled Trial Augmented with Real-World Data
by: van der Laan, Mark, et al.
Published: (2024)

Efficient posterior sampling for high-dimensional imbalanced logistic regression
by: Sen, Deborshee, et al.
Published: (2019)

Adaptive Targeted Maximum Likelihood Estimation of the Mean Potential Outcome under a Treatment Rule
by: Xu, Yichen, et al.
Published: (2026)

Constructing Confidence Intervals for Infinite-Dimensional Functional Parameters by Highly Adaptive Lasso
by: Zhang, Wenxin, et al.
Published: (2025)

Adaptive debiased machine learning using data-driven model selection techniques
by: van der Laan, Lars, et al.
Published: (2023)

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models
by: Li, Yi, et al.
Published: (2025)

The effect of collinearity and sample size on linear regression results: a simulation study
by: van der Lubbe, Stephanie CC, et al.
Published: (2026)

A comparison of the discrimination performance of lasso and maximum likelihood estimation in logistic regression model
by: Junior, Gilberto P. Alcântara, et al.
Published: (2024)

Super Ensemble Learning Using the Highly-Adaptive-Lasso
by: Wang, Zeyi, et al.
Published: (2023)