Papers and Preprints
Title Author(s) URL
Adaptive Multiple Importance Sampling Jean-Marie Cornuet, Jean-Michel Marin, Antonietta Mira and Christian P. Robert http://arxiv.org/abs/0907.1254
Bayesian Computational Tools Christian Robert http://arxiv.org/abs/1304.2048
Bayesian methods to detect dye‚Äźlabelled DNA oligonucleotides in multiplexed Raman spectra M Zhong, M Girolami, K Faulds, D Graham http://onlinelibrary.wiley.com/doi/10.1111/j.1467-9876.2010.00744.x/abstract?deniedAccessCustomisedMessage=&userIsAuthenticated=false
Bayesian Uncertainty Quantification of Differential Equations Oksana Chkrebtii, David Campbell, Mark Girolami, Ben Calderhead http://arxiv.org/pdf/1306.2365.pdf
Lack of confidence in ABC model choice Christian P. Robert, Jean-Marie Cornuet, Jean-Michel Marin and Natesh Pillai http://arxiv.org/abs/1102.4432
Markov Chain Monte Carlo: Can We Trust the Third Significant Figure? James M. Flegal, Murali Haran, Galin L. Jones http://arxiv.org/abs/math/0703746
MCMC Estimation of Quantiles James M. Flegal, Galin L. Jones, Ronald C. Neath http://arxiv.org/abs/1207.6432
Optimisation via Slice Sampling John R. Birge, Nicholas G. Polson http://arxiv.org/abs/1212.2135
Riemann manifold Langevin and Hamiltonian Monte Carlo methods M.A.Girolami and B.Calderhead http://onlinelibrary.wiley.com/doi/10.1111/j.1467-9868.2010.00765.x/full
Sampling decomposable graphs using a Markov chain on junction trees Peter J. Green, Alun Thomas http://arxiv.org/abs/1104.4079
Variance bounding Markov chains Gareth O. Roberts, Jeffrey S. Rosenthal http://arxiv.org/abs/0806.2747
Zero Variance Markov Chain Monte Carlo Antonietta Mira, Reza Solgi, Daniele Imparato http://arxiv.org/abs/1012.2983

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