Dimension-free Mixing for High-dimensional Bayesian Variable Selection

12 May 2021

Papers citing "Dimension-free Mixing for High-dimensional Bayesian Variable Selection"

8 / 8 papers shown

Title
Complexity analysis of Bayesian learning of high-dimensional DAG models and their equivalence classes Quan Zhou Hyunwoong Chang 102 12 0 11 Jan 2021
Scalable Importance Tempering and Bayesian Variable Selection Giacomo Zanella Gareth O. Roberts 47 42 0 01 May 2018
Convergence complexity analysis of Albert and Chib's algorithm for Bayesian probit regression Qian Qin J. Hobert 35 32 0 24 Dec 2017
In Search of Lost (Mixing) Time: Adaptive Markov chain Monte Carlo schemes for Bayesian variable selection with very large p Jim Griffin Krys Latuszynski M. Steel AI4TS 58 34 0 18 Aug 2017
Piecewise Deterministic Markov Processes for Continuous-Time Monte Carlo Paul Fearnhead J. Bierkens M. Pollock Gareth O. Roberts 39 108 0 23 Nov 2016
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data J. Bierkens Paul Fearnhead Gareth O. Roberts 67 233 0 11 Jul 2016
Bayesian linear regression with sparse priors I. Castillo Johannes Schmidt-Hieber A. van der Vaart 135 379 0 04 Mar 2014
On the utility of graphics cards to perform massively parallel simulation of advanced Monte Carlo methods Anthony Lee C. Yau M. Giles Arnaud Doucet Christopher C. Holmes 92 322 0 14 May 2009