Imagen de Portada

Semi-supervised empirical Bayes group-regularized factor regression

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Münch, Magnus M., van de Wiel, Mark A., van der Vaart, Aad W., Peeters, Carel F. W.
Formato:	Preprint
Publicado:	2021
Materias:	Methodology
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Adaptive group-regularized logistic elastic net regression
por: Münch, Magnus M., et al.
Publicado: (2018)

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

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

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

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

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

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

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

Targeted empirical Bayes for more supervised joint factor analysis
por: Palmer, Glenn, et al.
Publicado: (2025)

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

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

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

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

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

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

Semi-parametric Bernstein-von Mises in Linear Inverse Problems
por: Magra, Adel, et al.
Publicado: (2023)

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

Semi-parametric Bernstein-von Mises Theorem in a Parabolic PDE Problem
por: Magra, Adel, et al.
Publicado: (2026)

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

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

Semi-supervised learning for linear extremile regression
por: Jiang, Rong, et al.
Publicado: (2025)

Semi-supervised linear regression: enhancing efficiency and robustness in high dimensions
por: Chen, Kai, et al.
Publicado: (2023)

Semi-supervised learning using copula-based regression and model averaging
por: Gao, Ziwen, et al.
Publicado: (2024)

A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression
por: Kim, Youngseok, et al.
Publicado: (2022)

Gradient-based optimization for variational empirical Bayes multiple regression
por: Banerjee, Saikat, et al.
Publicado: (2024)

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

Variational empirical Bayes variable selection in high-dimensional logistic regression
por: Tang, Yiqi, et al.
Publicado: (2025)

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

Semi-supervised linear regression with missing covariates
por: Risebrow, Benedict M., et al.
Publicado: (2026)

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

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

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

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

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

A Bayesian accelerated failure time model for interval censored three-state screening outcomes
por: Klausch, Thomas, et al.
Publicado: (2021)

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

Technical Note: Targeted Maximum Likelihood Estimator for an ATE Standardized for New Target Population
por: van der Laan, Mark, et al.
Publicado: (2025)

A Semi-supervised CART Model for Covariate Shift
por: Cai, Mingyang, et al.
Publicado: (2024)

To MCMC or not to MCMC: Evaluating non-MCMC methods for Bayesian penalized regression
por: van Leeuwen, Florian D., et al.
Publicado: (2025)

Misspecified Bernstein-Von Mises theorem for hierarchical models
por: Koers, Geerten, et al.
Publicado: (2023)