2 citations · 4 across the 3 of their papers we have counts for
3 papers
math.ST2014★ 1 cited
Convergence of Markovian Stochastic Approximation with discontinuous dynamics
Gersende Fort, Eric Moulines, Amandine Schreck +1
This paper is devoted to the convergence analysis of stochastic approximation algorithms of the form where is…
math.ST2013★ 2 cited
A shrinkage-thresholding Metropolis adjusted Langevin algorithm for Bayesian variable selection
Amandine Schreck, Gersende Fort, Sylvain Le Corff +1
This paper introduces a new Markov Chain Monte Carlo method for Bayesian variable selection in high dimensional settings. The algorithm is a Hastings-Metropolis sampler with a prop…
math.ST2012★ 1 cited
Adaptive Equi-Energy Sampler : Convergence and Illustration
Amandine Schreck, Gersende Fort, Eric Moulines
Markov chain Monte Carlo (MCMC) methods allow to sample a distribution known up to a multiplicative constant. Classical MCMC samplers are known to have very poor mixing properties…