688 citations · 1.3k across the 5 of their papers we have counts for
3 papers · 1 filter
Efficient learning in ABC algorithms
Mohammed Sedki, Pierre Pudlo, Jean-Michel Marin +2
Approximate Bayesian Computation has been successfully used in population genetics to bypass the calculation of the likelihood. These methods provide accurate estimates of the post…
Adaptive Multiple Importance Sampling
Jean-Marie Cornuet, Jean-Michel Marin, Antonietta Mira +1
The Adaptive Multiple Importance Sampling (AMIS) algorithm is aimed at an optimal recycling of past simulations in an iterated importance sampling scheme. The difference with earli…
Adaptive approximate Bayesian computation
Mark A. Beaumont, Jean-Marie Cornuet, Jean-Michel Marin +1
Sequential techniques can enhance the efficiency of the approximate Bayesian computation algorithm, as in Sisson et al.'s (2007) partial rejection control version. While this metho…