Prior-preconditioned conjugate gradient method for accelerated Gibbs sampling in "large $n$ & large $p$ " Bayesian sparse regression

29 October 2018

Papers citing "Prior-preconditioned conjugate gradient method for accelerated Gibbs sampling in "large $n$ & large $p$" Bayesian sparse regression"

9 / 9 papers shown

Title
Scalable Computations for Generalized Mixed Effects Models with Crossed Random Effects Using Krylov Subspace Methods Pascal Kündig Fabio Sigrist 86 0 0 14 May 2025
$Fused $L_{1/2}$ prior for large scale linear inverse problem with Gibbs bouncy particle sampler$ Fused $L_{1/2}$ prior for large scale linear inverse problem with Gibbs bouncy particle sampler Xiongwen Ke Yanan Fan Qingping Zhou 49 0 0 12 Sep 2024
Variational Inference for Sparse Poisson Regression Mitra Kharabati Morteza Amini 115 1 0 02 Nov 2023
Iterative Methods for Vecchia-Laplace Approximations for Latent Gaussian Process Models Pascal Kündig Fabio Sigrist 34 3 0 18 Oct 2023
Ultra-efficient MCMC for Bayesian longitudinal functional data analysis T. Sun Daniel R. Kowal 37 4 0 12 Jun 2023
Query lower bounds for log-concave sampling Sinho Chewi Jaume de Dios Pont Jerry Li Chen Lu Shyam Narayanan 99 8 0 05 Apr 2023
Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian Processes Yicheng Zhu M. Peruzzi Cheng Li David B. Dunson 73 7 0 27 Nov 2022
Subset selection for linear mixed models Daniel R. Kowal 62 3 0 27 Jul 2021
Shrinkage with shrunken shoulders: Gibbs sampling shrinkage model posteriors with guaranteed convergence rates A. Nishimura M. Suchard 97 9 0 06 Nov 2019