688 citations · 815 across the 8 of their papers we have counts for
5 papers · 1 filter
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…
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…
Inferring population history with DIYABC: a user-friendly approach to Approximate Bayesian Computation
Jean-Marie Cornuet, Filipe Santos, Mark A. Beaumont +5
Genetic data obtained on population samples convey information about their evolutionary history. Inference methods can extract this information (at least partially) but they requir…
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…
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…