Cover Image

Variational approximate penalized credible regions for Bayesian grouped regression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yu, Weichang, Dang, Khue-Dung
Format:	Preprint
Published:	2026
Subjects:	Methodology Computation
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Calibration procedures for approximate Bayesian credible sets
by: Lee, Jeong Eun, et al.
Published: (2018)

Variational Bayes for Mixture of Gaussian Structural Equation Models
by: Dang, Khue-Dung, et al.
Published: (2024)

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

Expectation-propagation for Bayesian empirical likelihood inference
by: Ng, Kenyon, et al.
Published: (2025)

Bayesian variance change point detection with credible sets
by: Cappello, Lorenzo, et al.
Published: (2022)

penalizedclr: an R package for penalized conditional logistic regression for integration of multiple omics layers
by: Djordjilović, Vera, et al.
Published: (2024)

Vecchia approximated Bayesian heteroskedastic Gaussian processes
by: Patil, Parul V., et al.
Published: (2025)

Ensemble Kalman inversion approximate Bayesian computation
by: Everitt, Richard G
Published: (2024)

Bayesian low-rank latent-cluster regression for mixed health outcomes
by: Huang, Hsin-Hsiung, et al.
Published: (2026)

Expressing and visualizing model uncertainty in Bayesian variable selection using Cartesian credible sets
by: Griffin, J. E.
Published: (2024)

Gaussian credible intervals in Bayesian nonparametric estimation of the unseen
by: Contardi, Claudia, et al.
Published: (2025)

Nonparametric tests for interaction in two-way ANOVA with balanced replications
by: Tran, Bao Khue, et al.
Published: (2024)

Approximate Bayesian inference for cumulative probit regression models
by: Aliverti, Emanuele
Published: (2025)

Scalable approximation of the transformation-free linear simplicial-simplicial regression via constrained iterative reweighted least squares
by: Tsagris, Michail, et al.
Published: (2025)

Bayesian score calibration for approximate models
by: Bon, Joshua J, et al.
Published: (2022)

Component-wise approximate Bayesian computation via Gibbs-like steps
by: Clarté, Grégoire, et al.
Published: (2019)

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

Cross validation approaches for penalized Cox regression
by: Dai, Biyue, et al.
Published: (2019)

Stratified distance space improves the efficiency of sequential samplers for approximate Bayesian computation
by: Pesonen, Henri, et al.
Published: (2023)

Bayesian sparse principal coordinates analysis with delta-tolerant linear approximation for microbiome data
by: Huang, Hsin-Hsiung, et al.
Published: (2026)

Variational Inference for Bayesian MIDAS Regression
by: Simeone, Luigi
Published: (2026)

Monte Carlo inference for semiparametric Bayesian regression
by: Kowal, Daniel R., et al.
Published: (2023)

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

Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent
by: Liu, Qingyang, et al.
Published: (2025)

Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings
by: Hansen, Blake, et al.
Published: (2023)

Optimal combination of composite likelihoods using approximate Bayesian computation with application to state-space models
by: Li, Wentao, et al.
Published: (2024)

Bayesian inference for group-level cortical surface image-on-scalar-regression with Gaussian process priors
by: Whiteman, Andrew S., et al.
Published: (2023)

Simultaneously detecting spatiotemporal changes with penalized Poisson regression models
by: Zhang, Zerui, et al.
Published: (2024)

Fast Variational Inference of Latent Space Models for Dynamic Networks Using Bayesian P-Splines
by: Loyal, Joshua Daniel
Published: (2024)

Bayesian size-and-shape regression modelling
by: Di Noia, Antonio, et al.
Published: (2023)

Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity
by: Legramanti, Sirio, et al.
Published: (2022)

A generalized Bayesian approach for high-dimensional robust regression with serially correlated errors and predictors
by: Chakraborty, Saptarshi, et al.
Published: (2024)

Cholesky-based multivariate Gaussian regression
by: Muschinski, Thomas, et al.
Published: (2021)

Interval-censored linear quantile regression
by: Choi, Taehwa, et al.
Published: (2024)

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

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

Forecasting sub-population mortality using credibility theory
by: Lindholm, Mathias, et al.
Published: (2025)

Feature-specific inference for penalized regression using local false discovery rates
by: Miller, Ryan, et al.
Published: (2018)

Bayesian change-plane regression
by: Ohnishi, Yuki, et al.
Published: (2026)

CR-Lasso: Robust cellwise regularized sparse regression
by: Su, Peng, et al.
Published: (2023)