Christian P. Robert
Researcher Next ID · RN-031973
Researcher · Biochemistry, Genetics and Molecular Biology
Centre de Recherche en Mathématiques de la Décision
Paris, United Kingdom
- Works count
- 1,138
- Citation count
- 40,588
- H-index
- 80
- i10-index
- 300
Research interests
Publications
Abandon Statistical Significance
HAL (Le Centre pour la Communication Scientifique Directe) · 2019
Reliable ABC model choice via random forests
Bioinformatics · 2015 · https://doi.org/10.1093/bioinformatics/btv684
Machine Learning, a Probabilistic Perspective
CHANCE · 2014 · https://doi.org/10.1080/09332480.2014.914768
Microbial culturomics: paradigm shift in the human gut microbiome study
Clinical Microbiology and Infection · 2012 · https://doi.org/10.1111/1469-0691.12023
Lack of confidence in approximate Bayesian computation model choice
Proceedings of the National Academy of Sciences · 2011 · https://doi.org/10.1073/pnas.1102900108
Approximate Bayesian computational methods
Statistics and Computing · 2011 · https://doi.org/10.1007/s11222-011-9288-2
Introducing Monte Carlo Methods with R
Journal · 2009 · https://doi.org/10.1007/978-1-4419-1576-4
Sparse canonical methods for biological data integration: application to a cross-platform study
BMC Bioinformatics · 2009 · https://doi.org/10.1186/1471-2105-10-34
Adaptive approximate Bayesian computation
Biometrika · 2009 · https://doi.org/10.1093/biomet/asp052
A Sparse PLS for Variable Selection when Integrating Omics Data
Statistical Applications in Genetics and Molecular Biology · 2008 · https://doi.org/10.2202/1544-6115.1390
Inferring population history withDIY ABC: a user-friendly approach to approximate Bayesian computation
Bioinformatics · 2008 · https://doi.org/10.1093/bioinformatics/btn514
Performance of Genomic Selection in Mice
Genetics · 2008 · https://doi.org/10.1534/genetics.108.088575
Bayesian Core: A Practical Approach to Computational Bayesian Statistics
Springer texts in statistics · 2007 · https://doi.org/10.1007/978-0-387-38983-7
Bayesian Modelling and Inference on Mixtures of Distributions
Handbook of statistics · 2005 · https://doi.org/10.1016/s0169-7161(05)25016-2
Monte Carlo Statistical Methods (Springer Texts in Statistics)
Springer eBooks · 2005
Population Monte Carlo
Journal of Computational and Graphical Statistics · 2004 · https://doi.org/10.1198/106186004x12803
Monte Carlo Statistical Methods
Springer texts in statistics · 2004 · https://doi.org/10.1007/978-1-4757-4145-2
Monte Carlo Statistical Methods
Technometrics · 2000 · https://doi.org/10.2307/1270959
Computational and Inferential Difficulties with Mixture Posterior Distributions
Journal of the American Statistical Association · 2000 · https://doi.org/10.1080/01621459.2000.10474285
Monte Carlo Statistical Methods
Springer texts in statistics · 1999 · https://doi.org/10.1007/978-1-4757-3071-5
Simulation of truncated normal variables
Journal · 1995
An overview of robust Bayesian analysis
Test · 1994 · https://doi.org/10.1007/bf02562676
The Bayesian Choice
Springer texts in statistics · 1994 · https://doi.org/10.1007/978-1-4757-4314-2
Estimation of Finite Mixture Distributions Through Bayesian Sampling
Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1994 · https://doi.org/10.1111/j.2517-6161.1994.tb01985.x
Current projects
No projects listed.