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‐labelled 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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Recent submissions to the stat.co section on ArXiv

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