834 citations · 3.9k across the 95 of their papers we have counts for
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Importance sampling schemes for evidence approximation in mixture models
Jeong Eun Lee, Christian P. Robert
The marginal likelihood is a central tool for drawing Bayesian inference about the number of components in mixture models. It is often approximated since the exact form is unavaila…
Two discussions of the paper "Bayesian measures of model complexity and fit" by D. Spiegelhalter et al., Read before The Royal Statistical Society at a meeting organized by the Research Section on Wednesday, March 13th, 2002
E. Moreno, F. -J. Vazquez-Polo, C. P. Robert
These are the written discussions of the paper "Bayesian measures of model complexity and fit" by D. Spiegelhalter et al. (2002), following the discussions given at the Annual Meet…
Bayesian Computational Tools
Christian P. Robert
This chapter surveys advances in the field of Bayesian computation over the past twenty years, with missing data. It also contains some novel computational entries on the double-ex…
On the Jeffreys-Lindley's paradox
Christian Robert
This paper discusses the dual interpretation of the Jeffreys--Lindley's paradox associated with Bayesian posterior probabilities and Bayes factors, both as a differentiation betwee…