834 citations · 3.9k across the 95 of their papers we have counts for
5 papers · 2 filters
Discussions on "Riemann manifold Langevin and Hamiltonian Monte Carlo methods"
Simon Barthelme, Magali Beffy, Nicolas Chopin +5
This is a collection of discussions of `Riemann manifold Langevin and Hamiltonian Monte Carlo methods" by Girolami and Calderhead, to appear in the Journal of the Royal Statistical…
Exact Bayesian Analysis of Mixtures
Christian P. Robert, Kerrie L. Mengersen
In this paper, we show how a complete and exact Bayesian analysis of a parametric mixture model is possible in some cases when components of the mixture are taken from exponential…
Using parallel computation to improve Independent Metropolis--Hastings based estimation
Pierre Jacob, Christian P. Robert, Murray H. Smith
In this paper, we consider the implications of the fact that parallel raw-power can be exploited by a generic Metropolis--Hastings algorithm if the proposed values are independent.…
On computational tools for Bayesian data analysis
Christian P. Robert, Jean-Michel Marin
While Robert and Rousseau (2010) addressed the foundational aspects of Bayesian analysis, the current chapter details its practical aspects through a review of the computational me…
Bayesian computational methods
Christian P. Robert
In this chapter, we will first present the most standard computational challenges met in Bayesian Statistics, focussing primarily on mixture estimation and on model choice issues,…