Likelihood-free parallel tempering

@article{Baragatti2013LikelihoodfreePT,
  title={Likelihood-free parallel tempering},
  author={Me{\"i}li C. Baragatti and A. Grimaud and D. Pommeret},
  journal={Statistics and Computing},
  year={2013},
  volume={23},
  pages={535-549}
}
Approximate Bayesian Computational (ABC) methods, or likelihood-free methods, have appeared in the past fifteen years as useful methods to perform Bayesian analysis when the likelihood is analytically or computationally intractable. Several ABC methods have been proposed: MCMC methods have been developed by Marjoram et al. (2003) and by Bortot et al. (2007) for instance, and sequential methods have been proposed among others by Sisson et al. (2007), Beaumont et al. (2009) and Del Moral et al… Expand
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