25 citations · 29 across the 7 of their papers we have counts for
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math.ST2019
Collective Proposal Distributions for Nonlinear MCMC samplers: Mean-Field Theory and Fast Implementation
Grégoire Clarté, Antoine Diez, Jean Feydy
Over the last decades, various "non-linear" MCMC methods have arisen. While appealing for their convergence speed and efficiency, their practical implementation and theoretical stu…
stat.CO2019★ 25 cited
Component-wise approximate Bayesian computation via Gibbs-like steps
Grégoire Clarté, Christian P. Robert, Robin Ryder +1
Approximate Bayesian computation methods are useful for generative models with intractable likelihoods. These methods are however sensitive to the dimension of the parameter space,…