Aguemon Yves Atchade
Aguemon Yves Atchade
Professor of Statistics, Boston University
Verified email at
Cited by
Cited by
On adaptive markov chain monte carlo algorithms
YF Atchadé, JS Rosenthal
Bernoulli 11 (5), 815-828, 2005
An adaptive version for the Metropolis adjusted Langevin algorithm with a truncated drift
YF Atchadé
Methodology and Computing in applied Probability 8 (2), 235-254, 2006
Iterated filtering
EL Ionides, A Bhadra, Y Atchadé, A King
The Annals of Statistics 39 (3), 1776-1802, 2011
Inference for dynamic and latent variable models via iterated, perturbed Bayes maps
EL Ionides, D Nguyen, Y Atchadé, S Stoev, AA King
Proceedings of the National Academy of Sciences 112 (3), 719-724, 2015
On Russian roulette estimates for Bayesian inference with doubly-intractable likelihoods
AM Lyne, M Girolami, Y Atchadé, H Strathmann, D Simpson
Statistical science 30 (4), 443-467, 2015
On perturbed proximal gradient algorithms
YF Atchadé, G Fort, E Moulines
The Journal of Machine Learning Research 18 (1), 310-342, 2017
Towards optimal scaling of Metropolis-coupled Markov chain Monte Carlo
YF Atchadé, GO Roberts, JS Rosenthal
Statistics and Computing 21 (4), 555-568, 2011
Adaptive Markov chain Monte Carlo: theory and methods
Y Atchade, G Fort, E Moulines, P Priouret
Bayesian time series models, 32-51, 2011
Limit theorems for some adaptive MCMC algorithms with subgeometric kernels
Y Atchadé, G Fort
Bernoulli 16 (1), 116-154, 2010
On the efficiency of adaptive MCMC algorithms
C Andrieu, YF Atchadé
Proceedings of the 1st international conference on Performance evaluation …, 2006
The Wang-Landau algorithm in general state spaces: applications and convergence analysis
YF Atchadé, JS Liu
Statistica Sinica, 209-233, 2010
Bayesian computation for statistical models with intractable normalizing constants
YF Atchadé, N Lartillot, C Robert
Brazilian Journal of Probability and Statistics 27 (4), 416-436, 2013
Change point estimation in high dimensional Markov random-field models
S Roy, Y Atchadé, G Michailidis
Journal of the Royal Statistical Society. Series B, Statistical methodology …, 2017
Modeling choice interdependence in a social network
J Wang, A Aribarg, YF Atchadé
Marketing Science 32 (6), 977-997, 2013
On the contraction properties of some high-dimensional quasi-posterior distributions
YA Atchadé
Annals of Statistics 45 (5), 2248-2273, 2017
A computational framework for empirical Bayes inference
YF Atchadé
Statistics and computing 21 (4), 463-473, 2011
Improving on the independent Metropolis-Hastings algorithm
YF Atchadé, F Perron
Statistica Sinica, 3-18, 2005
A cautionary tale on the efficiency of some adaptive Monte Carlo schemes
YF Atchadé
Annals of Applied Probability 20 (3), 841-868, 2010
On the geometric ergodicity of Metropolis-Hastings algorithms
YF Atchadé, F Perron
Statistics 41 (1), 77-84, 2007
Kernel estimators of asymptotic variance for adaptive Markov chain Monte Carlo
YF Atchadé
Annals of statistics 39 (2), 990-1011, 2011
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