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In Search of Lost (Mixing) Time: Adaptive Markov chain Monte Carlo schemes for Bayesian variable selection with very large p

18 August 2017

Papers citing "In Search of Lost (Mixing) Time: Adaptive Markov chain Monte Carlo schemes for Bayesian variable selection with very large p"

22 / 22 papers shown

Title
An invitation to adaptive Markov chain Monte Carlo convergence theory Pietari Laitinen M. Vihola 176 4 0 27 Aug 2024
A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression I. Castillo Alice L'Huillier Kolyan Ray Luke Travis 218 0 0 18 Jun 2024
A geometric approach to informed MCMC sampling Vivekananda Roy 159 0 0 13 Jun 2024
Structure Learning with Adaptive Random Neighborhood Informed MCMCNeural Information Processing Systems (NeurIPS), 2023 Alberto Caron Xitong Liang Samuel Livingstone Jim Griffin 145 4 0 01 Nov 2023
A Variational Spike-and-Slab Approach for Group Variable SelectionBayesian Analysis (Bayes. Anal.), 2023 M. Ramezani Hossein Rastgoftar Jun S. Liu 168 0 0 28 Sep 2023
Adaptive MCMC for Bayesian variable selection in generalised linear models and survival modelsEntropy (Entropy), 2023 Xitong Liang Samuel Livingstone Jim Griffin 203 9 0 01 Aug 2023
Importance is Important: A Guide to Informed Importance Tempering Methods Guanxun Li Aaron Smith Quan Zhou 205 2 0 13 Apr 2023
Linear Complexity Gibbs Sampling for Generalized Labeled Multi-Bernoulli FilteringIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022 Changbeom Shim B. Vo B. Vo Jonah Ong Diluka Moratuwage 179 19 0 29 Nov 2022
Bayesian Variable Selection in a Million DimensionsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 M. Jankowiak BDL 145 4 0 02 Aug 2022
Bayesian inference on hierarchical nonlocal priors in generalized linear modelsBayesian Analysis (Bayesian Anal.), 2022 Xuan Cao Kyoungjae Lee 166 2 0 14 Mar 2022
Two-Step Mixed-Type Multivariate Bayesian Sparse Variable Selection with Shrinkage PriorsElectronic Journal of Statistics (EJS), 2022 Shao‐Hsuan Wang Ray Bai Hsin-Hsiung Huang 266 6 0 30 Jan 2022
Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable SelectionStatistics and computing (Stat Comput), 2021 Xitong Liang Samuel Livingstone Jim Griffin BDL 228 11 0 22 Oct 2021
Rapid Convergence of Informed Importance TemperingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Quan Zhou Aaron Smith 162 10 0 22 Jul 2021
Fast Bayesian Variable Selection in Binomial and Negative Binomial Regression M. Jankowiak BDL 102 3 0 28 Jun 2021
Dimension-free Mixing for High-dimensional Bayesian Variable Selection Quan Zhou Jun Yang Dootika Vats Gareth O. Roberts Jeffrey S. Rosenthal 171 30 0 12 May 2021
A Metropolized adaptive subspace algorithm for high-dimensional Bayesian variable selectionBayesian Analysis (BA), 2021 C. Staerk M. Kateri I. Ntzoufras 228 3 0 03 May 2021
Approximate Laplace approximations for scalable model selection D. Rossell Oriol Abril A. Bhattacharya 386 17 0 14 Dec 2020
Additive Bayesian variable selection under censoring and misspecificationStatistical Science (Statist. Sci.), 2019 D. Rossell F. Rubio CML 245 23 0 31 Jul 2019
Variational Bayes for high-dimensional linear regression with sparse priors Kolyan Ray Botond Szabó 309 109 0 15 Apr 2019
Scalable Importance Tempering and Bayesian Variable Selection T. Rigon Gareth O. Roberts 186 45 0 01 May 2018
Air Markov Chain Monte Carlo C. Chimisov Krzysztof Latuszynski Gareth O. Roberts 138 13 0 28 Jan 2018
Model Averaging and its Use in Economics M. Steel MoMe 244 274 0 24 Sep 2017