Geodesic
Convergence of the equi-energy sampler
Christophe Andrieu1 ; Ajay Jasra2 ; Arnaud Doucet3 ; Pierre Del Moral4
1 University of Bristol
2 Imperial College London
3 University of British Columbia
4 University of Nice
ESAIM. Proceedings, Tome 19 (2007), pp. 1-5 Cet article a éte moissonné depuis la source EDP Sciences

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In a recent paper 'The equi-energy sampler with applications statistical inference and statistical mechanics' Kou, Zhou Wong (Ann. Statist., 34, 1581-1619, 2006.) have presented a new stochastic simulation method called the equi-energy (EE) sampler. This technique is designed to simulate from a probability measure π, perhaps only known up to a normalizing constant. The authors demonstrate that the sampler performs well in quite challenging problems but their convergence results (Theorem 2) appear incomplete. This was pointed out, in the discussion of the paper, by Atchadé Liu (Ann. Statist., 34, 1620-1628, 2006.) who proposed an alternative convergence proof. However, this alternative proof, whilst theoretically correct, does not correspond to the algorithm that is implemented. In this note we consider the difficulties of the proofs as well as pointing out an alternative convergence result established by the authors (Andrieu et al. 2007b).
DOI : 10.1051/proc:071901

Christophe Andrieu 1 ; Ajay Jasra 2 ; Arnaud Doucet 3 ; Pierre Del Moral 4

1 University of Bristol
2 Imperial College London
3 University of British Columbia
4 University of Nice 
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Christophe Andrieu; Ajay Jasra; Arnaud Doucet; Pierre Del Moral. Convergence of the equi-energy sampler. ESAIM. Proceedings, Tome 19 (2007), pp. 1-5. doi: 10.1051/proc:071901

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