Imagen de Portada

Variational empirical Bayes variable selection in high-dimensional logistic regression

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Tang, Yiqi, Martin, Ryan
Formato:	Preprint
Publicado:	2025
Materias:	Computation Methodology Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

Discriminative classification with generative features: bridging Naive Bayes and logistic regression
por: Terner, Zachary, et al.
Publicado: (2025)

Sparse high-dimensional linear mixed modeling with a partitioned empirical Bayes ECM algorithm
por: Zgodic, Anja, et al.
Publicado: (2023)

Rényi's $α$-divergence variational Bayes for spike-and-slab high-dimensional linear regression
por: Bsila, Chadi, et al.
Publicado: (2025)

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

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

Empirical Bayes inference in sparse high-dimensional generalized linear models
por: Tang, Yiqi, et al.
Publicado: (2023)

Debiased high-dimensional regression calibration for errors-in-variables log-contrast models
por: Zhao, Huali, et al.
Publicado: (2024)

Mixing times of data-augmentation Gibbs samplers for high-dimensional probit regression
por: Ascolani, Filippo, et al.
Publicado: (2025)

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

Fast Variational Bayes for Large Spatial Data
por: Song, Jiafang, et al.
Publicado: (2025)

Mean-field Variational Bayes for Sparse Probit Regression
por: Fasano, Augusto, et al.
Publicado: (2026)

Statistical inference for case-control logistic regression via integrating external summary data
por: Shi, Hengchao, et al.
Publicado: (2024)

Robust variable selection for spatial point processes observed with noise
por: Sturm, Dominik, et al.
Publicado: (2025)

Optimal and computationally tractable lower bounds for logistic log-likelihoods
por: Anceschi, Niccolò, et al.
Publicado: (2024)

Quasi-Bayes empirical Bayes: a sequential approach to the Poisson compound decision problem
por: Favaro, Stefano, et al.
Publicado: (2024)

Neural interval-censored survival regression with feature selection
por: Meixide, Carlos García, et al.
Publicado: (2022)

Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regression
por: Zgodic, Anja, et al.
Publicado: (2023)

Robust and Scalable Variational Bayes
por: Padilla, Carlos Misael Madrid, et al.
Publicado: (2025)

Logistic Variational Bayes Revisited
por: Komodromos, Michael, et al.
Publicado: (2024)

Inference on covariance structure in high-dimensional multi-view data
por: Mauri, Lorenzo, et al.
Publicado: (2025)

Partially factorized variational inference for high-dimensional mixed models
por: Goplerud, Max, et al.
Publicado: (2023)

Statistical inference after variable selection in Cox models: A simulation study
por: Schemet, Lena, et al.
Publicado: (2026)

Approximate Bayesian inference for cumulative probit regression models
por: Aliverti, Emanuele
Publicado: (2025)

Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature
por: Li, Chengkun, et al.
Publicado: (2023)

Dimension-free bounds in high-dimensional linear regression via error-in-operator approach
por: Noskov, Fedor, et al.
Publicado: (2025)

Deep Bayes Factors
por: Kim, Jungeum, et al.
Publicado: (2023)

Robust Variational Bayes by Min-Max Median Aggregation
por: Yan, Jiawei, et al.
Publicado: (2025)

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

Pathwise Gradient Variance Reduction with Control Variates in Variational Inference
por: Ng, Kenyon, et al.
Publicado: (2024)

Comparison study of variable selection procedures in high-dimensional Gaussian linear regression
por: Lacroix, Perrine, et al.
Publicado: (2021)

Flexible variable selection in the presence of missing data
por: Williamson, B. D., et al.
Publicado: (2022)

Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box
por: Giordano, Ryan, et al.
Publicado: (2023)

Deep Generative Quantile Bayes
por: Kim, Jungeum, et al.
Publicado: (2024)

Tree Bandits for Generative Bayes
por: O'Hagan, Sean, et al.
Publicado: (2024)

Variational Transdimensional Inference
por: Davies, Laurence, et al.
Publicado: (2025)

Variational predictive resampling
por: Battaglia, Laura, et al.
Publicado: (2026)

On metric choice in dimension reduction for Fréchet regression
por: Soale, Abdul-Nasah, et al.
Publicado: (2024)

Conjugate gradient methods for high-dimensional GLMMs
por: Pandolfi, Andrea, et al.
Publicado: (2024)

Sparse-group boosting -- Unbiased group and variable selection
por: Obster, Fabian, et al.
Publicado: (2022)