Cover Image

Spectral Collapsed Gibbs Sampler for Bayesian Sparse Regression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chin, Andrew, Ding, Xiyu, Nishimura, Akihiko
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

MCMC using $\textit{bouncy}$ Hamiltonian dynamics: A unifying framework for Hamiltonian Monte Carlo and piecewise deterministic Markov process samplers
by: Chin, Andrew, et al.
Published: (2024)

Smoothing Out Sticking Points: Sampling from Discrete-Continuous Mixtures with Dynamical Monte Carlo by Mapping Discrete Mass into a Latent Universe
by: Chin, Andrew, et al.
Published: (2025)

A Symmetric Random Scan Collapsed Gibbs Sampler for Fully Bayesian Variable Selection with Spike-and-Slab Priors
by: Chung, Mengta
Published: (2026)

Incorporating Local Step-Size Adaptivity into the No-U-Turn Sampler using Gibbs Self Tuning
by: Bou-Rabee, Nawaf, et al.
Published: (2024)

A Hybrid NUTS-Gibbs Sampler with State Space Marginalization for Estimation of Dynamic Structural Equation Models with Binomial Outcomes
by: Sørensen, Øystein, et al.
Published: (2026)

Approximate Gibbs Sampler for Efficient Inference of Hierarchical Bayesian Models for Grouped Count Data
by: Yu, Jin-Zhu, et al.
Published: (2022)

Sparse Bayesian multidimensional scaling(s)
by: Sheth, Ami, et al.
Published: (2024)

Bayesian shape-constrained regression for quantifying Alzheimer's disease biomarker progression
by: Li, Mingyuan, et al.
Published: (2025)

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

Constructing Genetic Risk Scores: Robust Bayesian Approach through Projected Summary Statistics and Flexible Shrinkage
by: Dun, Yuzheng, et al.
Published: (2024)

Variational Inference for Sparse Poisson Regression
by: Kharabati, Mitra, et al.
Published: (2023)

Efficient and Fast Sampling from Arbitrary Probability Kernels using Sliced Gibbs Sampler
by: Ghosh, Prithwish, et al.
Published: (2026)

Compressed Bayesian Tensor Regression
by: Casarin, Roberto, et al.
Published: (2025)

spar: Sparse Projected Averaged Regression in R
by: Parzer, Roman, et al.
Published: (2024)

Bayesian Partial Reduced-Rank Regression
by: Pintado, Maria F., et al.
Published: (2024)

Insufficient Gibbs Sampling
by: Luciano, Antoine, et al.
Published: (2023)

Particle Gibbs without the Gibbs bit
by: Corenflos, Adrien
Published: (2025)

Channelling Multimodality Through a Unimodalizing Transport: Warp-U Sampler and Stochastic Bridge Sampling Estimator
by: Ding, Fei, et al.
Published: (2024)

Tutorial on Bayesian Functional Regression Using Stan
by: Jiang, Ziren, et al.
Published: (2025)

Bayesian Multinomial Logistic Regression for Numerous Categories
by: Fisher, Jared D., et al.
Published: (2022)

A Proximal Newton Adaptive Importance Sampler
by: Elvira, Víctor, et al.
Published: (2024)

Differential Equation-Constrained Local Regression for Data with Sparse Design
by: Ge, Chunlei, et al.
Published: (2025)

Graph-based Square-Root Estimation for Sparse Linear Regression
by: Li, Peili, et al.
Published: (2024)

Gibbs sampling for Bayesian P-splines
by: Gressani, Oswaldo, et al.
Published: (2024)

Bayesian Markov-Switching Partial Reduced-Rank Regression
by: Pintado, Maria F., et al.
Published: (2025)

Uncertainty Quantification in Bayesian Reduced-Rank Sparse Regressions
by: Pintado, Maria F., et al.
Published: (2023)

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

Bayesian Variable Selection in Multivariate Regression Under Collinearity in the Design Matrix
by: Ghosh, Joyee, et al.
Published: (2025)

Adaptively Optimised Adaptive Importance Samplers
by: Perello, Carlos A. C. C., et al.
Published: (2023)

Nested Sampling with Slice-within-Gibbs: Efficient Evidence Calculation for Hierarchical Bayesian Models
by: Yallup, David
Published: (2026)

Sparse Bayesian joint modal estimation for exploratory item factor analysis
by: Hijikata, Keiichiro, et al.
Published: (2024)

Self-Tuned Rejection Sampling within Gibbs and a Case Study in Small Area Estimation
by: Raim, Andrew M., et al.
Published: (2025)

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

Bayesian Variable Selection for Function-on-Scalar Regression Models: a comparative analysis
by: Sousa, Pedro Henrique T. O., et al.
Published: (2023)

Robust Bayesian Model Averaging for Linear Regression Models With Heavy-Tailed Errors
by: De, Shamriddha, et al.
Published: (2024)

An Online Algorithm for Bayesian Variable Selection in Logistic Regression Models With Streaming Data
by: Ghosal, Payel, et al.
Published: (2025)

SOMA: A Novel Sampler for Bayesian Inference from Privatized Data
by: Xiong, Yifei, et al.
Published: (2025)

Bayesian Multiple Multivariate Density-Density Regression
by: Nguyen, Khai, et al.
Published: (2026)

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

Modeling Misclassification in Spousal Violence Reporting: Evidence from Bayesian Quantile Regression
by: Song, Joon Jin, et al.
Published: (2026)