Reading list for ABC PhD course

As the ABC PhD course at CREST is about to start (!), I am thinking of setting a few on-line papers to read. Since the most specific topic is ABC convergence, here is the reading list:

• Blum M.G.B. (2010) Approximate Bayesian Computation: a nonparametric perspective. Journal of the American Statistical Association, 105: 1178-1187
• Dean, T.A., Sumeetpal, Singh S.S., Jasra, A. and Peters, G.W. (2010) Parameter Estimation for Hidden Markov Models with Intractable Likelihoods. Cambridge University Engineering Department Technical Report 66,  arXiv:1103.5399v1
• Fearnhead, P. and Prangle, D. (2012) Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation. J. Royal Statistical Society (Series B)
• Marin, J.-M., Pillai, N., Robert, C.P. and Rousseau, J. (2011) Relevant statistics for Bayesian model choice. arXiv:1110.4700
• Robert, C.P., Cornuet, J.-M., Marin, J.-M. and  Pillai, N.S. (2011) Lack of confidence in approximate Bayesian computational (ABC) model choice. PNAS (Open Access). 108(37), 15112-15117, arXiv:1102.4432
• Wilkinson, R. (2008) Approximate Bayesian computation (ABC) gives exact results under the assumption of model error. arXiv:0811.3355