activity
20042009
most citedInferring population history with DIYABC: a user-friendly approach to Approximate Bayesian Computation

688 citations · 815 across the 8 of their papers we have counts for

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5 papers · 1 filter

stat.CO200949 cited

Importance sampling methods for Bayesian discrimination between embedded models

Jean-Michel Marin, Christian P. Robert

This paper surveys some well-established approaches on the approximation of Bayes factors used in Bayesian model choice, mostly as covered in Chen et al. (2000). Our focus here is…

stat.CO2008

Bayesian computation for statistical models with intractable normalizing constants

Yves Atchade, Nicolas Lartillot, Christian P. Robert

This paper deals with some computational aspects in the Bayesian analysis of statistical models with intractable normalizing constants. In the presence of intractable normalizing c…

stat.CO200837 cited

Bayesian Inference on Mixtures of Distributions

Kate Lee, Jean-Michel Marin, Kerrie Mengersen +1

This survey covers state-of-the-art Bayesian techniques for the estimation of mixtures. It complements the earlier Marin, Mengersen and Robert (2005) by studying new types of distr…

stat.CO20083 cited

On variance stabilisation by double Rao-Blackwellisation

Alessandra Iacobucci, Jean-Michel Marin, Christian Robert

Population Monte Carlo has been introduced as a sequential importance sampling technique to overcome poor fit of the importance function. In this paper, we compare the performances…

stat.CO20084 cited

A Bayesian reassessment of nearest-neighbour classification

Lionel Cucala, Jean-Michel Marin, Christian Robert +1

The k-nearest-neighbour procedure is a well-known deterministic method used in supervised classification. This paper proposes a reassessment of this approach as a statistical techn…