A shrinkage-thresholding Metropolis adjusted Langevin algorithm for
Bayesian variable selection

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A shrinkage-thresholding Metropolis adjusted Langevin algorithm for Bayesian variable selection

19 December 2013

Amandine Schreck

Sylvain Le Corff

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Papers citing "A shrinkage-thresholding Metropolis adjusted Langevin algorithm for Bayesian variable selection"

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Title
Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers G. Fort Barbara Pascal P. Abry N. Pustelnik 27 10 0 17 Mar 2022
On the contraction properties of some high-dimensional quasi-posterior distributions Yves F. Atchadé 102 39 0 31 Aug 2015
On the Computational Complexity of High-Dimensional Bayesian Variable Selection Yun Yang Martin J. Wainwright Michael I. Jordan 126 151 0 29 May 2015
A Moreau-Yosida approximation scheme for a class of high-dimensional posterior distributions Yves F. Atchadé 75 11 0 26 May 2015
Bayesian computation: a perspective on the current state, and sampling backwards and forwards P. Green K. Latuszyñski Marcelo Pereyra Christian P. Robert 127 21 0 04 Feb 2015
Theoretical guarantees for approximate sampling from smooth and log-concave densities A. Dalalyan 116 516 0 23 Dec 2014
Joint Segmentation and Deconvolution of Ultrasound Images Using a Hierarchical Bayesian Model based on Generalized Gaussian Priors Ningning Zhao Adrian Basarab Denis Kouamé J. Tourneret 100 47 0 08 Dec 2014
Oscillation of adaptative Metropolis-Hasting and simulated annealing algorithms around penalized least squares estimator A. Dermoune Daoud Ounaissi Nadji Rahmania 48 2 0 19 Mar 2014
Bayesian linear regression with sparse priors I. Castillo Johannes Schmidt-Hieber A. van der Vaart 230 382 0 04 Mar 2014
Proximal Markov chain Monte Carlo algorithms Marcelo Pereyra 130 178 0 02 Jun 2013