Aguemon Yves Atchade
Aguemon Yves Atchade
Professor of Statistics, Boston University
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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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