229 citations · 292 across the 5 of their papers we have counts for
5 papers
The Coordinate Sampler: A Non-Reversible Gibbs-like MCMC Sampler
Changye Wu, Christian P. Robert
In this article, we derive a novel non-reversible, continuous-time Markov chain Monte Carlo (MCMC) sampler, called Coordinate Sampler, based on a piecewise deterministic Markov pro…
Model-based Clustering
Bettina Grün
Mixture models extend the toolbox of clustering methods available to the data analyst. They allow for an explicit definition of the cluster shapes and structure within a probabilis…
CosmoPMC: Cosmology Population Monte Carlo
Martin Kilbinger, Karim Benabed, Olivier Cappe +7
We present the public release of the Bayesian sampling algorithm for cosmology, CosmoPMC (Cosmology Population Monte Carlo). CosmoPMC explores the parameter space of various cosmol…
Rejoinder: Harold Jeffreys's Theory of Probability Revisited
Christian P. Robert, Nicolas Chopin, Judith Rousseau
We are grateful to all discussants of our re-visitation for their strong support in our enterprise and for their overall agreement with our perspective. Further discussions with th…
On some difficulties with a posterior probability approximation technique
Christian Robert, Jean-Michel Marin
In Scott (2002) and Congdon (2006), a new method is advanced to compute posterior probabilities of models under consideration. It is based solely on MCMC outputs restricted to sing…