| 1 | -- | 0 | Antonietta Mira, Christian P. Robert. An introduction to the special issue "Joint IMS-ISBA meeting - MCMSki 4" |
| 3 | -- | 0 | Heikki Haario. Introduction to "Quantitative bounds of convergence for geometrically ergodic Markov Chain in the Wasserstein distance with application to the Metropolis adjusted Langevin algorithm" by A. Durmus, É. Moulines |
| 5 | -- | 19 | Alain Durmus, Eric Moulines. Quantitative bounds of convergence for geometrically ergodic Markov chain in the Wasserstein distance with application to the Metropolis Adjusted Langevin Algorithm |
| 21 | -- | 0 | Nial Friel. Introduction to "Pre-processing for approximate Bayesian computation in image analysis" by M. Moores, C. Drovandi, K. Mengersen, C. Robert |
| 23 | -- | 33 | Matthew T. Moores, Christopher C. Drovandi, Kerrie L. Mengersen, Christian P. Robert. Pre-processing for approximate Bayesian computation in image analysis |
| 35 | -- | 0 | Bradley P. Carlin. Introduction to "Cuts in Bayesian graphical models" by M. Plummer |
| 37 | -- | 43 | Martyn Plummer. Cuts in Bayesian graphical models |
| 45 | -- | 0 | Håvard Rue. Introduction to "Fast matrix computations for functional additive models" by S. Barthelmé |
| 47 | -- | 63 | Simon Barthelmé. Fast matrix computations for functional additive models |
| 65 | -- | 66 | Peter Mueller. Introduction to "On a class of σ-stable Poisson-Kingman models and an effective marginalized sampler" by S. Favaro, M. Lomeli, Y. W. Teh |
| 67 | -- | 78 | Stefano Favaro, M. Lomeli, Y. W. Teh. On a class of σ-stable Poisson-Kingman models and an effective marginalized sampler |
| 79 | -- | 0 | Christophe Andrieu. Introduction to "Particle Metropolis-Hastings using gradient and Hessian information" by J. Dahlin, F. Lindsten, T. Schön |
| 81 | -- | 92 | Johan Dahlin, Fredrik Lindsten, Thomas B. Schön. Particle Metropolis-Hastings using gradient and Hessian information |
| 93 | -- | 94 | Stefano Peluso. Introduction to "On the use of Markov chain Monte Carlo methods for the sampling of mixture models" by R. Douc, F. Maire, J. Olsson |
| 95 | -- | 110 | Randal Douc, Florian Maire, Jimmy Olsson. On the use of Markov chain Monte Carlo methods for the sampling of mixture models: a statistical perspective |
| 111 | -- | 0 | Nial Friel. Introduction to "Efficient computational strategies for doubly intractable problems with applications to Bayesian social networks" by A. Caimo, A. Mira |
| 113 | -- | 125 | Alberto Caimo, Antonietta Mira. Efficient computational strategies for doubly intractable problems with applications to Bayesian social networks |
| 127 | -- | 0 | Christian P. Robert. Introduction to "Adaptive ABC model choice and geometric summary statistics for hidden Gibbs random fields" by J. Stoehr, P. Pudlo, L. Cucala |
| 129 | -- | 141 | Julien Stoehr, Pierre Pudlo, Lionel Cucala. Adaptive ABC model choice and geometric summary statistics for hidden Gibbs random fields |
| 143 | -- | 0 | Robin J. Ryder. Introduction to "Scalable inference for Markov processes with intractable likelihoods" by J. Owen, D. Wilkinson, C. Gillespie |
| 145 | -- | 156 | Jamie Owen, Darren J. Wilkinson, Colin S. Gillespie. Scalable inference for Markov processes with intractable likelihoods |
| 157 | -- | 0 | Colin Fox. Introduction to "Efficient local updates for undirected graphical models" by F. Stingo, G. Marchetti |
| 159 | -- | 171 | Francesco Stingo, Giovanni M. Marchetti. Efficient local updates for undirected graphical models |